The use of neural network technologies in solving the problem of evaluation and prognosis of oncologic diseases

Autor:	E V Doroshenko, O I Pyatkovskiy, M V Guner
Rok vydání:	2019
Předmět:	Dispensary History Artificial neural network Risk analysis (engineering) Computer science Sample (statistics) Computer Science Applications Education Disease course
Zdroj:	Journal of Physics: Conference Series. 1327:012003
ISSN:	1742-6596 1742-6588
Popis:	The purpose of this work is neural network technologies in solving the problem of stratification of patients at the oncologic dispensary in order to optimize the treatment course and reduce the cost of its implementation. The material for the study is a sample containing data on the medical indicators of 77 patients with colorectal cancer. As a result of the use of artificial neural networks, it is planned to increase the efficiency of analysis of oncological research results and clinical data of patients.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b9f074786aedf79e8983682ae4ae7654 https://doi.org/10.1088/1742-6596/1327/1/012003 Zobrazit plný text záznamu