Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy
The purpose of the article is to develop a medical information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy, which increases the accuracy of diagnosis. Results. During the writing of the article, a method was developed for detecting emo...
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Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України
2018
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| Цитувати: | Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy / L.M. Rysovana, O.V. Vysotska // Кибернетика и .вычислительная техника. — 2018. — № 2 (192). — С. 72-83. — Бібліогр.: 11 назв. — англ. |
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irk-123456789-1420932018-09-26T01:22:56Z Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy Rysovana, L.M. Vysotska, O.V. Медицинская и биологическая кибернетика The purpose of the article is to develop a medical information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy, which increases the accuracy of diagnosis. Results. During the writing of the article, a method was developed for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, including the definition of the likelihood of emotional disorders, the exposure vector for psychocorrection, the detection of cognitive disorders and determining their severity, and predicting the further development of cognitive disorders. A structural diagram of the medical information system "СognitiveDE" has been developed, which determines the composition and purpose of its main modules, and has allowed to develop a methodological basis for describing the interaction of the elements of the biological and technical subsystems. The software of the medical information system "СognitiveDE" was verified, which showed the compliance of the results of the individual stages of the system development with the requirements and restrictions formulated for them. Розроблення медичної інформаційної системи виявлення когнітивних і емоційних порушень у пацієнтів з дисциркуляторною енцефалопатією, що дозволяє підвищити точність діагностики. Результати. Розроблено метод виявлення порушень емоційної та когнітивної сфери у пацієнтів з дисциркуляторною енцефалопатією, який включає визначення ймовірності виникнення емоційних порушень, виявлення вектора впливу для проведення психокорекції, виявлення когнітивних порушень і визначення їх ступеня тяжкості, прогнозування подальшого розвитку когнітивних порушень. Розроблено структурну схему інформаційної системи, визначено склад і призначення її основних модулів, що дозволило розробити методичну базу для опису взаємодії елементів біологічної та технічної підсистем. Проведено оцінювання якості розробленого програмного забезпечення медичної інформаційної системи «СognitiveDE». Цель — разработать медицинскую информационную систему выявления когнитивных и эмоциональных нарушений у пациентов с дисциркуляторной энцефалопати. Результаты. Разработан метод выявления нарушений эмоциональной и когнитивной сферы у пациентов с дисциркуляторной энцефалопатией, включающий определение вероятности возникновения эмоциональных нарушений, выявление вектора воздействия для проведения психокоррекции, выявление когнитивных нарушений и определение их степени тяжести, прогнозирование дальнейшего развития когнитивных нарушений. Разработана структурная схема информационной системы, определены состав и назначения ее основных модулей, что позволило разработать методическую базу для описания взаимодействия элементов биологической и технической подсистем. Проведена оценка качества разработанного программного обеспечения медицинской информационной системы «СognitiveDE». 2018 Article Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy / L.M. Rysovana, O.V. Vysotska // Кибернетика и .вычислительная техника. — 2018. — № 2 (192). — С. 72-83. — Бібліогр.: 11 назв. — англ. 0454-9910 DOI: https://doi.org/10.15407/kvt192.02.072 http://dspace.nbuv.gov.ua/handle/123456789/142093 004.4:616.89-008.45/.47-02:616.831-005 en Кибернетика и вычислительная техника Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України |
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Медицинская и биологическая кибернетика Медицинская и биологическая кибернетика |
| spellingShingle |
Медицинская и биологическая кибернетика Медицинская и биологическая кибернетика Rysovana, L.M. Vysotska, O.V. Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy Кибернетика и вычислительная техника |
| description |
The purpose of the article is to develop a medical information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy, which increases the accuracy of diagnosis. Results. During the writing of the article, a method was developed for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, including the definition of the likelihood of emotional disorders, the exposure vector for psychocorrection, the detection of cognitive disorders and determining their severity, and predicting the further development of cognitive disorders. A structural diagram of the medical information system "СognitiveDE" has been developed, which determines the composition and purpose of its main modules, and has allowed to develop a methodological basis for describing the interaction of the elements of the biological and technical subsystems. The software of the medical information system "СognitiveDE" was verified, which showed the compliance of the results of the individual stages of the system development with the requirements and restrictions formulated for them. |
| format |
Article |
| author |
Rysovana, L.M. Vysotska, O.V. |
| author_facet |
Rysovana, L.M. Vysotska, O.V. |
| author_sort |
Rysovana, L.M. |
| title |
Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy |
| title_short |
Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy |
| title_full |
Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy |
| title_fullStr |
Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy |
| title_full_unstemmed |
Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy |
| title_sort |
information system of detection of emotional and cognitive disorders in patients with discirculatory encephalopathy |
| publisher |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України |
| publishDate |
2018 |
| topic_facet |
Медицинская и биологическая кибернетика |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/142093 |
| citation_txt |
Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy / L.M. Rysovana, O.V. Vysotska // Кибернетика и .вычислительная техника. — 2018. — № 2 (192). — С. 72-83. — Бібліогр.: 11 назв. — англ. |
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Кибернетика и вычислительная техника |
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2025-07-10T14:07:48Z |
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| fulltext |
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192)
DOI: https://doi.org/10.15407/kvt192.02.072
UDC 004.4:616.89-008.45/.47-02:616.831-005
L.M. RYSOVANA1, Assistant,
Department of Medical and Biological Physics and Medical Informatics
e-mail: rluba_24@ukr.net
O.V. VYSOTSKA2, D.Sc. (Engineering), Professor,
Professor of the Department of Information Control Systems
e-mail: evisotska@ukr.net
1 Kharkov National Medical University,
Nauky ave., 4, 61022, Kharkiv, Ukraine
2 Kharkov National University of Radio Electronics,
Nauky ave., 14, 61166, Kharkiv, Ukraine
INFORMATION SYSTEM OF DETECTION OF EMOTIONAL AND COGNITIVE
DISORDERS IN PATIENTS WITH DISCIRCULATORY ENCEPHALOPATHY
Introduction. In modern conditions, there are topical issues of studying the mechanisms of
formation and specificity of clinical manifestations of discirculatory encephalopathy in the
able-bodied population. A large number of interrelated indicators that characterize emo-
tional and cognitive disorders, the analysis of which requires the use of mathematical meth-
ods and software, determined the need to develop an information system for the detection of
emotional and cognitive disorders in patients with discirculatory encephalopathy.
The purpose of the article is to develop a medical information system for the detection
of emotional and cognitive disorders in patients with discirculatory encephalopathy, which
increases the accuracy of diagnosis.
Materials and methods. The article uses mathematical statistics methods for processing diag-
nostic information; methods of mathematical modeling for constructing mathematical models for
detecting the likelihood of emotional disorders and identifying and determining the severity of cogni-
tive disorders in patients with discirculatory encephalopathy; methodical bases of construction of
information technologies in medicine at construction of information system of revealing emotional
and cognitive disorders in patients with discirculatory encephalopathy.
Results. During the writing of the article, a method was developed for detecting emo-
tional and cognitive disorders in patients with discirculatory encephalopathy, including the
definition of the likelihood of emotional disorders, the exposure vector for psychocorrection,
the detection of cognitive disorders and determining their severity, and predicting the further
development of cognitive disorders. A structural diagram of the medical information system
"СognitiveDE" has been developed, which determines the composition and purpose of its
main modules, and has allowed to develop a methodological basis for describing the interac-
L.M. RYSOVANA, O.V. VYSOTSKA, 2018
72
Information System of Detection of Emotional and Cognitive Disorders in Patients
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 73
tion of the elements of the biological and technical subsystems. The software of the medical
information system "СognitiveDE" was verified, which showed the compliance of the results
of the individual stages of the system development with the requirements and restrictions
formulated for them.
Conclusions. Using the developed method for detecting emotional and cognitive disor-
ders in patients with discirculatory encephalopathy, based on developed mathematical mod-
els for determining the likelihood of emotional disorders and determining the severity of
cognitive disorders, allows correctly diagnosing emotional and cognitive disorders.
The presented medical information system can be used by doctors of the neurological
and psychiatric departments and medical psychologists to improve the accuracy and reduce
the time of diagnosis of emotional and cognitive disorders.
Keywords: medical information system, assessment method, cognitive and emotional
disorders, discirculatory encephalopathy.
INTRODUCTION
The cerebrovascular diseases (CVD) represent today a significant social and
economic problem throughout the world [1, 2].
In recent years there has been a persistent tendency of increasing the chronic
form of CVD (discirculatory encephalopathy (DEP)). In modern conditions,
there are topical issues of studying the mechanisms of formation and specificity
of clinical manifestations of DEP in the able-bodied population [1].
The majority of patients with organic and symptomatic mental disorders that
occur against the background of cerebrovascular pathology, marked cognitive and
emotional disorders (CD and ED) of varying severity. Disorders of mental activity
and negative psychological factors complicate the course of the disease, restoration
and rehabilitation processes, become one of the main causes of temporary disability
and disability of patients. Numerous studies have shown that more than 50% of
cases of mild cognitive impairment pass into one or another variant of dementia [2].
A large number of interrelated indicators that characterize CD and ED, the
analysis of which requires the use of mathematical methods and software, de-
termined the need to develop an information system for detecting cognitive and
emotional disorders in patients with DEP.
PROBLEM STATEMENT
Currently, a number of information systems are used in psychoneurological
practice. To identify and determine the degree of severity of the CD, information
system "TESTER" is intended [3], but it allows to forecast the further develop-
ment of this disorder and does not take into account the possibility of patients
having cerebrovascular diseases.
One of the computer systems for psycho-diagnostics is the SMOL-Expert
system [4], which is based on the SMOL-test, designed for psychological coun-
seling. The resources of this computer system allow for testing, processing re-
sults, maintaining a database and interpreting survey results. However, genera-
tion of a large number of variants of output of results, which the system issues,
significantly complicates the diagnostic process and lowers its accuracy.
L.M. Rysovana, O.V. Vуsotska
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 74
To determine the level of psychomotor development and control its dynam-
ics in children, the expert system "Longitude" is used. It should be noted that the
extended version of this system "Longitude +", which includes applied tech-
niques, through which psychological work is carried out with adolescents and
adults [5]. The disadvantage of this system is that it is designed to assess the
condition of a conditionally healthy person, i.e. it does not allow to objectively
assessing the mental state in patients with cerebrovascular diseases.
Automation of the process of conducting an outpatient card for patients in
the psychiatric and narcological department can be carried out using the auto-
mated "Map of the patient who has applied for psychiatric care", which greatly
facilitates the work of psychiatrists, especially young specialists [6], but it does
not automate data analysis on the patient's condition, namely, to identify and
determine the severity of ED and CD.
The "Aimedika" support system for making medical decisions (SSMMD)
forms a list of the most likely diseases, based on the data of more than 22 million
scientific articles on medical topics and the results of clinical practice in various
medical specializations [7]. However, the disadvantage of this SSMMD, due to a
rather impressive list of possible diseases, is the low accuracy of detecting and
predicting cognitive and emotional disorders in patients with DEP.
The use of neural network systems is a justified and promising direction in
predicting the development of the disease in patients with DEP, against the
background of a large number of clinical parameters that are among themselves
in a nonlinear connection. An example of this is the NeuroPro 0.25 hardware-
software complex [8], which allows to forecast the development of a DEP based
on the use of an artificial neural network. However, the diagnosis and prediction
of this disease with the help of this complex is difficult.
Thus, the analysis of the existing MIS has shown that at present a number of
known medical and psychological systems that allow to diagnose disorders of
the emotional and cognitive spheres in a CVD chronic form, but they do not
cover the entire specifics of these disorders, and accordingly they do not have
high diagnostic accuracy.
The purpose of this work is to develop a medical information system for
the detection of emotional and cognitive impairment in patients with discircula-
tory encephalopathy.
To achieve this aim, it is necessary to solve the following tasks:
- to develop a method for detecting emotional and cognitive impairment in
patients with discirculatory encephalopathy;
- to develop a structural diagram of the medical information system that al-
lows to identify emotional and cognitive impairments in patients with discircula-
tory encephalopathy, reflecting the work of all its modules.
MATERIALS AND METHODS OF RESEARCH
When developing the method for detecting ED and CD, the optimal sample size
was determined. So, with a reliability level of γ = 0.95 and a maximum error of
5%, the required sample size was 236–350 people. For this study, a group of
350 patients aged 33 to 65 years was formed.
Information System of Detection of Emotional and Cognitive Disorders in Patients
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 75
All patients underwent examination, which used clinico-psychopathological,
clinical-anamnestic, psychodiagnostic, psychological, laboratory-diagnostic,
instrumental methods [1]. Thus, 135 indicators were obtained reflecting the so-
matic and psychoemotional state of health of patients with DEP.
The article uses mathematical statistics methods for processing diagnostic infor-
mation; methods of mathematical modeling for constructing mathematical models for
detecting the probability of ED and detecting and determining the degree of severity of
CD in patients with DEP; methodical bases of construction of information technolo-
gies in medicine when building an information system for detecting cognitive and
emotional disorders in patients with discirculatory encephalopathy.
DEVELOPMENT OF A METHOD FOR DETECTING EMOTIONAL
AND COGNITIVE IMPAIRMENT IN PATIENTS WITH DEP
To analyze the development of DEP, it is necessary to perform a number of interre-
lated steps: determining the likelihood of occurrence of ED, identifying the impact
vector for conducting psychic correction, identifying CD and determining their sever-
ity, predicting the further development of CD in patients with DEP.
Let there be some set of patients with DEP:
{ }jqQ = ,
where m,j 1= — patient serial number.
Let there also be a finite set X of n possible indicators of the state of patients
with DEP:
{ }ixX = ,
where ni ,1= — state index number.
X is the union of two subsets:
DIAGPSY XXX ∪= ,
where PSYX — subset of psychological indicators, DIAGX — subset of somatic indices.
As the values of these parameters in the j-th patient are different, the subset
of the values of the psychological state qj of the patient is defined as
j
PSY
j XX ⊂ , PSY
jX =82, a subset of the values of the indicators of the somatic
state as j
DIAG
j XX ⊂ , DIAG
jX =53.
In determining the emotional status, depending on the indices Xj, each pa-
tient qj can be attributed to one of two groups of a finite set { }vlL = , where
21,v = — group number. So, l1 — absence of ED, l2 — presence of ED.
To assign qj to one of the classes of a finite set L, it is necessary to construct
a mathematical model defining the projection:
{ }Pvj
P
j Lq:LX ∈→ ,
where P — probability of the jth patient falling into one of the two groups.
L.M. Rysovana, O.V. Vуsotska
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 76
In determining the cognitive status, depending on the indices Xj, each patient qj
might be attributed to one of the three groups of a finite set { }gbB = , where 31,g =
— group number. So, b1 — absence of KH, b2 — lungs KH, b3 — moderate KH.
To assign qj to one of the classes of the finite set В, it is necessary to con-
struct a mathematical model defining the projection:
{ }Fgj
F
j Bq:BX ∈→ ,
where F — the values of the functions of the j-th patient in the g-th group.
Observations were made on m objects, each of which is characterized by the
n-dimensional vector of features.
For each qj, it is known that it belongs to one of the two groups l1 or l2, in
addition, the same patient belongs to one of the three groups b1, b2 or b3.
Thus, the task is as follows: to develop a method based on the model for
identifying the probability of ED, allowing for the implementation
( )nx,...,x,xX 21j = newly admitted to the examination of the patient refer it to
one of two groups l1 or l2, and the model, determining the degree of severity of
CD, which allows the patient to be assigned to one of the three groups b1, b2 or
b3 for the realization of the same Xj.
The method of detecting emotional and cognitive impairment in patients
with DEP consists of a number of stages.
At the first stage the data array was formed X = {Xij}, where хij — the value
of the ith indicator of the state of the jth patient.
At the second stage, all quantitative, nominal and ordinal indicators of the
patient's condition were subject to normalization and coding.
To bring the selected indicators to a single scale, linear scaling formulas
were used:
for indicators like "the less, the better":
minmax
minij
'x'x
xx
x̂
−
−
=
'
ij ; (1)
for indicators like "the more, the better":
minmax
ijmax
'x'x
x'x
x̂
−
−
=ij , (2)
where ijx̂ is the normalized ith index of the jth patient, xij is the eigenvalue of the
ith parameter of the jth patient, x'min and x'max are respectively the minimum and
maximum possible value of the indicator.
Thus, in this case, [ ]10,x̂ij ∈ the best state indices for the jth patient corre-
spond to zero, and the worst for the unit.
The third stage of the method was the determination of the probability of
ED on the basis of the logistic regression model [9].
Information System of Detection of Emotional and Cognitive Disorders in Patients
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 77
The probability of occurrence of ED was determined by the formula:
d
d
e
eP
+
=
1
, (3)
where d = -19,26 + 0,82 X1j - 0,50 X2j + 0,94 X3j - 0,46 X4j + 0,96 X5j - 1,53 X6j +
+ 1,60 X7j, X1j — trustfulness-suspicion, X2j — straightforwardness-diplomacy,
X3j — level of fibrinogen, X4j — anxiety, X5j — depression, X6j — psychosocial
stress indicator and X7j — blood glucose level [9].
At the fourth stage of the method, signs were identified that required prior-
ity correction.
Included in the mathematical model of determining the probability of occurrence
of ED indicators were ranked and cut off those whose level was from 0 to 0.5.
{ }50ijij ,x̂x̂x~ij >= , (4)
where ijx~ — ranked indicator.
To determine the optimal set of features that require an initial correction, the
product of the sensitivity of each feature iβ with its value ijx~ was calculated:
( )∗∗∗∗ = nj2j1jij ,...,, xxxx , ( )ijx~Mn = ,
iji xx ⋅β=∗
ij ,
∗
+
∗ ≤ 1ijij xx ,
(5)
where M — cardinality of the set of indices of the calculated exponents.
The calculated optimal vector of influence on the emotional state of the pa-
tient made it possible to conduct a psycho-correction quickly and qualitatively.
The fifth stage of the method was the identification and determination of the
degree of severity of CD based on the construction of discriminant functions [1].
( )
jjjjjj
jjjjj
A,A,A,A,A,A,
A,A,A,A,A,,X
11109876
543211
441322920071042311
421240671321651614F
⋅+⋅−⋅−⋅+⋅−⋅−
−⋅+⋅−⋅+⋅+⋅+=
(6)
( )
jjjjjj
jjjjj
A,A,A,A,A,A,
A,A,A,A,A,,X
11109876
543212
750251140530771570
1002800606802905723F
⋅−⋅+⋅−⋅−⋅+⋅+
+⋅+⋅+⋅−⋅+⋅+−=
(7)
where A1j — stage of DEP, A2j is the depression index, A3j — anxiety index,
A4j — physical functioning, A5j — probability of ED, A6j — psychological
health, A7j — systolic pressure, A8j — diastolic pressure, A9j — number of red
blood cells, A10j — speed erythrocyte sedimentation, A11j — prothrombin index,
F1 and F2 — values of canonical discriminant functions [1].
At the sixth stage, a forecast is given for the further development of CD, us-
ing the Wald sequential analysis method [10].
After achieving the result of algebraic summation of the DK values of the threshold
amount, which is ± 12.78 points, a favorable or unfavorable current is predicted CD [11].
L.M. Rysovana, O.V. Vуsotska
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 78
At the seventh stage, a diagnostic conclusion is formed. Based on the calcu-
lated values of the probability of ED and discriminant functions, it is determined
whether a particular patient belongs to one of the groups lv and bg.
DEVELOPMENT OF THE STRUCTURAL SCHEME OF MIS,
ALLOWING TO IDENTIFY ED AND CD IN PATIENTS WITH DEP
The developed method is the basis for MIS, which allows to identify ED and CD
in patients with DEP. This system is an independent software and hardware tool
that allows in the dialog or batch mode to process information and get all the
necessary input data in the form of screen or printed forms.
The structural diagram of the developed information system "СognitiveDE"
for a psychiatrist (doctor-psychotherapist, medical psychologist) (Fig. 1) is a
logically linked interaction of the biological and technical subsystems.
The collection of information about the patient's condition is carried out as a re-
sult of clinical, psycho-pathological, clinical-anamnestic, psychodiagnostic, labora-
tory-diagnostic and instrumental studies, using diagnostic and laboratory-analytical
equipment. The received information enters the information input module, where the
initial set is formed, which is transmitted to the information processing module.
Fig. 1. Structural scheme of MIS of ED and CD detection
Information System of Detection of Emotional and Cognitive Disorders in Patients
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 79
The information processing module encodes information about the patient's
condition and encrypts its passport data. As the most effective algorithm for
protecting information, a symmetric algorithm of block-based AES encryption
was chosen, which allowed to ensure confidentiality and prevent violation of
data integrity and distortion.
Further, the processed data falls into the database. The developed database
is characterized by a large amount of textual and numerical information about
the patient's somatic and psychic emotional state.
At the stage of conceptual database design, entities were identified, between
which there are one-to-many relationships. At the stage of physical database
design, a data schema model was developed.
The database developed is open and cross-platform, which allows us to
speak about the universal organization of its structure for solving problems of
automating the diagnostic process of similar diseases.
Then the data goes to the data analysis module, where on the basis of the
developed method, CD and ED are detected in patients with DEP, and the results
obtained in this module are stored in the database for storage.
Then, in the decryption unit, the patient's patient data is restored by inverse
transformation, using the same AES algorithm.
Then the information goes to the report generation unit, after which an opin-
ion is generated, which is passed on to the specialist for the final acceptance of
the medical decision.
To work with the system, a convenient and easy-to-use interface has been
developed that makes it possible to register patients in an accessible form, to
enter the results of surveys, to conduct psychological testing, etc., which is im-
portant in the work of medical personnel (Fig. 2).
The developed MIS "СognitiveDE" was implemented using an object-oriented
Java programming language using the MySQL database management system.
Fig. 2. Dialog windows of the "СognitiveDE" system
L.M. Rysovana, O.V. Vуsotska
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 80
Table 1. The results of the detection of emotional and cognitive impairment in
patients with discirculatory encephalopathy
T V1 V2
n
n1 % n1 % n1 %
175 3 5,08 ± 0,29 3 5,17 ± 0,30 2 3,45 ± 0,24
QUALITY CONTROL OF SOFTWARE DEVELOPED BY MIS
The usefulness of MIS "СognitiveDE" was tested in practice in the determination of
emotional and cognitive impairment in 175 patients (n) with DEP who were hospital-
ized in the Kharkov Regional Clinical Psychiatric Hospital No. 3 (59 people made a
test sample (T), and 116 — two validation samples (V1 and V2)), each patient under-
went psychodiagnostic and laboratory-instrumental studies, in each of the samples a
number of patients were identified who had erroneously detected emotional and/or
cognitive impairments spheres (n1) and percentage of these errors (%).
The results of detection of ED and CD, obtained with the help of the devel-
oped system "СognitiveDE", showed that 167 patients out of 175 had the correct
violations of emotional and cognitive spheres (Table 1). The accuracy of these
violations was 95.43 ± 0.16%.
The quality of the software MIS "СognitiveDE" was tested using the demo-
version of the program JHAWK version 6.0.
For the system level, the average cyclomatic complexity for all AVCC
classes was 1.13, which indicates a good result, because AVCC < 5 indicates a
simple class [11]. The metric of the aggregate number of Halstead errors
(HBUG) was tested, which showed the possibility of detecting a 3.52 error in the
program code. This result indicates a quality software. Another important system
metric is the program accompanying index (MI), the value of which is more than
100, which shows a high level of program maintenance [11].
Thus, the MIS has been developed to detect cognitive and emotional disorders in
patients with DEP, which allows to improve the quality of diagnosis of CD and ED,
and to reduce the time spent for this. The structural diagram of MIS "СognitiveDE"
shows logically connected by interaction of biological and technical subsystems. The
conducted testing of the system software showed its high quality.
CONCLUSIONS
We developed a method of detecting violations of the emotional and cognitive pa-
tients with circulatory encephalopathy, based on a mathematical model for determin-
ing the likelihood of emotional disorders, including such factors as: the credulity-
suspicion, straightness-diplomacy, fibrinogen level, anxiety and depression, psycho-
social stress index and the level of glucose in blood and correctly classifying lv group
with a probability of 0.949, and a mathematical model to identify and determine the
degree of severity cognitive disorders consisting figures step circulatory encephalo-
pathy, depression and anxiety, physical functioning, emotional disturbances prob-
ability, psychological health, systolic and diastolic blood pressure, red blood cell
count, erythrocyte sedimentation rate, prothrombin index which correctly classifies
bg group with a probability of 0.973.
Information System of Detection of Emotional and Cognitive Disorders in Patients
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 81
A structural diagram of the medical information system "СognitiveDE" has
been developed, which determines the composition and purpose of its main
modules, and has allowed to develop a methodological basis for describing the
interaction of the elements of the biological and technical subsystems. Presented
information system can be used by physicians of neurological and psychiatric
offices and clinical psychologist to improve accuracy and reduce diagnosis time
emotional and cognitive disorders.
The verification of software medical information "CognitiveDE" system
which has shown compliance with the requirements of the results of the individ-
ual steps of the system development and limitations set forth for them was held.
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Получено 26.02.2018
Л.М. Рисованая1, ассистент,
каф. медицинской и биологической физики
и медицинской информатики,
e-mail: rluba_24@ukr.net
Е.В. Высоцкая2, д-р техн. наук, проф.,
проф. каф. информационных управляющих систем
e-mail: evisotska@ukr.net
1 Харьковский национальный медицинский университет,
г. Харьков, пр. Науки, 4, 61022, Украина
2 Харьковский национальный университет радиоэлектроники,
г. Харьков, пр. Науки, 14, 61166, Украина
ИНФОРМАЦИОННАЯ СИСТЕМА ВЫЯВЛЕНИЯ ЭМОЦИОНАЛЬНЫХ
И КОГНИТИВНЫХ НАРУШЕНИЙ У ПАЦИЕНТОВ
С ДИСЦИРКУЛЯТОРНОЙ ЭНЦЕФАЛОПАТИЕЙ
Введение. В современных условиях актуальными являются вопросы выявления эмо-
циональных и когнитивных нарушений на фоне цереброваскулярных заболеваний
хронической формы. Большое количество взаимосвязанных показателей, характери-
зующих эмоциональные и когнитивные нарушения, анализ которых требует примене-
ния математических методов и программных средств, определило необходимость раз-
работки информационной системы выявления эмоциональных и когнитивных наруше-
ний у пациентов с дисциркуляторной энцефалопатией.
Цель — разработать медицинскую информационную систему выявления когни-
тивных и эмоциональных нарушений у пациентов с дисциркуляторной энцефалопати-
ей, позволяющей повысить точность диагностики.
Материалы и методы. В статье использованы методы математической статистики, ма-
тематического моделирования и построения информационных технологий в медицине.
Результаты. Разработан метод выявления нарушений эмоциональной и когни-
тивной сферы у пациентов с дисциркуляторной энцефалопатией, включающий опреде-
ление вероятности возникновения эмоциональных нарушений, выявление вектора
воздействия для проведения психокоррекции, выявление когнитивных нарушений и
определение их степени тяжести, прогнозирование дальнейшего развития когнитивных
нарушений. Разработана структурная схема информационной системы, определены
состав и назначения ее основных модулей, что позволило разработать методическую
Information System of Detection of Emotional and Cognitive Disorders in Patients
ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2018. № 2 (192) 83
базу для описания взаимодействия элементов биологической и технической подсистем.
Проведена оценка качества разработанного программного обеспечения медицинской
информационной системы «СognitiveDE».
Выводы. Использование разработанной медицинской информационной системы
«СognitiveDE» выявления когнитивных и эмоциональных нарушений у пациентов с
дисциркуляторной энцефалопатией, в основу которой положен предложенный метод
оценки дисциркуляторной энцефалопатии, позволяет повысить качество диагностики
эмоциональных и когнитивных нарушений и сократить затрачиваемое для этого время.
Ключевые слова: медицинская информационная система, метод оценки, когнитивные и
эмоциональные нарушения, дисциркуляторная энцефалопатия.
Л.М. Рисована, асистент,
каф. медичної та біологічної фізики і медичної інформатики
e-mail: rluba_24@ukr.net
О.В. Висоцька, д-р техн. наук, проф.,
проф. каф. інформаційних управляючих систем
e-mail: evisotska@ukr.net
1 Харківський національний медичний університет,
пр. Науки, 4, м. Харків, 61022, Україна
2 Харківський національний університет радіоелектроніки,
пр. Науки, 14, м. Харків, 61166, Україна
ІНФОРМАЦІЙНА СИСТЕМА ВИЯВЛЕННЯ ЕМОЦІЙНИХ
І КОГНІТИВНИХ ПОРУШЕНЬ У ХВОРИХ
НА ДИСЦИРКУЛЯТОРНУ ЕНЦЕФАЛОПАТІЮ
Вступ. В сучасних умовах актуальними є питання виявлення емоційних і когнітивних
порушень на тлі цереброваскулярних захворювань хронічної форми. Велика кількість
взаємопов'язаних показників, які характеризують емоційні і когнітивні порушення,
аналіз яких вимагає застосування математичних методів і програмних засобів, визна-
чило необхідність розроблення інформаційної системи виявлення емоційних і когніти-
вних порушень у пацієнтів з дисциркуляторною енцефалопатією.
Мета. Розроблення медичної інформаційної системи виявлення когнітивних і
емоційних порушень у пацієнтів з дисциркуляторною енцефалопатією, що дозволяє
підвищити точність діагностики.
Результати. Розроблено метод виявлення порушень емоційної та когнітивної
сфери у пацієнтів з дисциркуляторною енцефалопатією, який включає визначення
ймовірності виникнення емоційних порушень, виявлення вектора впливу для прове-
дення психокорекції, виявлення когнітивних порушень і визначення їх ступеня тяжкос-
ті, прогнозування подальшого розвитку когнітивних порушень. Розроблено структурну
схему інформаційної системи, визначено склад і призначення її основних модулів, що
дозволило розробити методичну базу для опису взаємодії елементів біологічної та
технічної підсистем. Проведено оцінювання якості розробленого програмного забезпе-
чення медичної інформаційної системи «СognitiveDE».
Висновки. Використання розробленої медичної інформаційної системи
«СognitiveDE» виявлення когнітивних і емоційних порушень у пацієнтів з дисциркуля-
торною енцефалопатією, в основу якої покладено запропонований метод оцінювання
дисциркуляторної енцефалопатії, дозволяє підвищити якість діагностики емоційних і
когнітивних порушень і скоротити витрачений на це час.
Ключові слова: медична інформаційна система, метод оцінювання, когнітивні та
емоційні порушення, дисциркуляторна енцефалопатія.
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