СТВОРЕННЯ ПРОГРАМНОГО ІНСТРУМЕНТУ ДЛЯ ПРОВЕДЕННЯ ДИФЕРЕНЦІЙНОЇ ДІАГНОСТИКИ НЕВРОЛОГІЧНИХ ХВОРОБ МЕТОДОМ ПОТЕНЦІЙНИХ ФУНКЦІЙ
Autor: | A. J. Savytskyy, A. O. Ostapova, T. P. Ivanova, V. Z. Stetsyuk, H. M. Fedushka |
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Rok vydání: | 2017 |
Předmět: |
неврологія
business.industry media_common.quotation_subject гіпотеза інтерфейс користувача Space (commercial competition) інформатизація lcsh:Computer applications to medicine. Medical informatics симптом Data science метод потенціальних функцій Similarity (psychology) Feature (machine learning) Key (cryptography) lcsh:R858-859.7 Decision function Medicine Quality (business) Informatization Differential (infinitesimal) business диференційна діагностика Simulation модель розпізнавання media_common |
Zdroj: | Medična Informatika ta Inženerìâ, Iss 4, Pp 49-53 (2017) |
ISSN: | 1997-7468 1996-1960 |
DOI: | 10.11603/mie.1996-1960.2016.4.7061 |
Popis: | Informatization in medicine offers many opportunities to enhance quality of medical support, accuracy of diagnosis and provides usage of accumulated experience. Modern program systems are represented as additional tools to get appropriate advice.This article offers the way to provide help for neurology department doctor of NCSH "OKHMATDYT" during diagnosis determining. Decision has been made to design the program system for this purpose based on differential diagnostic model.The key problems in differential diagnosis are symptoms similarity between each other in one disease group and the absence of key symptom. Thus, we need the differential diagnostic model. It is built using the potential function method in characteristics space. Such space of characteristics is formed by 26 points - patients with their symptoms.The main feature of this method is decision function, building during recognition step united with learning, which became possible with modern powerful computers. |
Databáze: | OpenAIRE |
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