Оценка эффективности нейросетевого прогнозирования количественных показателей здоровья у пациентов с заболеваниями гепатопанкреатодуоденальной зоны
Abstract
The paper is devoted to the up-to-date problem of monitoring the functioning of artificial neural networks in predicting the quantitative health indicators in patients with pathologies of the hepatopancreatoduodenal zone. The article contains the list and detailed mathematical description of biostatistical techniques, as well as experience of their practical application on the example of forecasting the age of probable hospitalization of patients with peptic ulcer, cholecystitis and pancreatitis.
About the Authors
V. A. Lazarenko
FSBEI HE “Kursk State Medical University” of the Ministry of Healthcare of the Russian Federation
Russian Federation
Russian Federation
Lazarenko V.A., MD, MMed, PhD habil., MBA, Professor, Rector
305041, 3, K. Marx str., Kursk
A. Е. Antonov
FSBEI HE “Kursk State Medical University” of the Ministry of Healthcare of the Russian Federation
Russian Federation
Russian Federation
305041, 3, K. Marx str., Kursk
A. V. Prasolov
Russian Federation
Prasolov A.V., MD, MMed, PhD habil. Head of the Division of Health Monitoring Regional State State-owned Health Institution of Special Type “Regional Center of Medical Prevention”, city of Belgorod
308034, 15 в, Gubkina str., Belgorod
M. I. Churilin
FSBEI HE “Kursk State Medical University” of the Ministry of Healthcare of the Russian Federation
Russian Federation
Russian Federation
Churilin M.I., DrPH, Assistant Professor of the Department of General Education
305041, 3, K. Marx str., Kursk
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Review
For citations:
Lazarenko V.A., Antonov A.Е., Prasolov A.V., Churilin M.I. . Yakut Medical Journal. 2017;(3):83-85.
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