Saratov JOURNAL of Medical and Scientific Research

Applying of classification and predictive modeling to predict individual risk factors for depressive disorders

Year: 2017, volume 13 Issue: №1 Pages: 168-174
Heading: Neurology Article type: Original article
Authors: Samsonov A.S., Kutashov V.A.
Organization: Voronezh State Medical Academy

Purpose: the formation of mathematical models and algorithms for predicting the development of depressive disorders in patients based on their individual medical and social characteristics. Material and methods. The substantiation of the urgency of the problem is given. The methods and the course of the research are described. Results and conclusions. On the basis of the data obtained, a set of the most significant medical and social characteristics of patients was formed, an integral indicator for assessing the degree of risk of depressive disorders was developed, a computer program was created to predict the probability of development of affective pathology. Appropriate conclusions had been made.

1. Obukhov SG. Psychiatry / Alexandrovsky YA, ed. M.: GEOTAR-Media, 2007; 352 p.
2. Antropov YuA, Antropov AYu, Neznanov NG. Principles of Diagnosis of Mental Disorders. Moscow: GEOTAR-Media, 2010; 384 p.
3. Bolgov SV, Kutashova LA, Kudinova NN, Choporov ON. Methods of prognostic modeling in the study of medico-social systems. In: Management in biomedical, social and economic systems: interuniversity collection of scientific papers. Voronezh, 2012; p. 126-128
4. Duplyakin Е. В. Monitoring of depressive disorders in patients with primary care: PhD abstract. Almaty, 2010; 25 p.
5. Kutashova LA. Medico-social aspects of depressive disorders and ways of their prevention in modern conditions: PhD abstract. Moscow, 2014; p. 15-21
6. Choporov ON, Agarkov Al, Kutashova LA, Konovalova E.Yu. A technique for converting qualitative characteristics into numerical estimates when processing the results of medical and social research. Bulletin of the Voronezh Institute of High Technologies 2012; (9): 96-98
7. Choporov ON, Naumov NV, Kutashova LA, Agarkov Al. Methods of preliminary information processing for system analysis and modeling of medical systems. Vrach-aspirant 2012; 55 (6.2): 382-390
8. Choporov ON, Chupeev AN, Bregeda SYu. Methods for analyzing the significance of indicators for classification and predictive modeling. Bulletin of the Voronezh State Technical University 2008; 4 (9): 92-94
9. Medic VA, Tokmachev MS. Mathematical statistics in medicine. Moscow: Finance and Statistics, 2007; 800 p.
10. Khalafyan АА. Statistica 6. Statistical analysis of the data: Textbook. 3rd ed. Moscow: 000 "Binom-Press", 2008; 512 p.

2017_01-1_168-174_1.pdf400.02 KB

No votes yet