Experience of neuronet diagnosis and prediction of peptic ulcer disease by results of risk factors’ analysis

Aim. To develop and verify a method for diagnosis of peptic ulcer based on neural network analysis of data on patients’ risk factors.Materials and methods. This article presents the results of a study based on materials on risk factors of 488 patients. The data was analyzed using internally develope...

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Main Authors: V. A. Lazarenko, A. E. Antonov, V. K. Markapuram, K. Awad
Formato: Artigo
Idioma:Inglês
Publicado em: Siberian State Medical University (Tomsk) 2018-09-01
Colecção:Bûlleten' Sibirskoj Mediciny
Assuntos:
artificial neural network
neuronet
multilayer perceptron
diagnosis
diagnostics
peptic ulcer disease
artificial intelligence
prognosis
Acesso em linha:https://bulletin.tomsk.ru/jour/article/view/1287
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