Affiliation:
1. Medical Informatics Research Center, Ailamazyan Program Systems Institute of RAS, Pereslavl-Zalessky, Russia
Abstract
The paper discusses different approaches to building a medical decision support system based on big data. The authors sought to abstain from any data reduction and apply universal teaching and big data processing methods independent of disease classification standards. The paper assesses and compares the accuracy of recommendations among three options: case-based reasoning, simple single-layer neural network, and probabilistic neural network. Further, the paper substantiates the assumption regarding the most efficient approach to solving the specified problem.
Funder
Ministry of Education and Science of the Russian Federation
Subject
Health Informatics,Biomedical Engineering,Surgery,Biotechnology
Cited by
8 articles.
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