Approaches to Medical Decision-Making Based on Big Clinical Data

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 compare...

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Bibliographic Details
Main Authors: V. L. Malykh, S. V. Rudetskiy
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2018/3917659
Description
Summary: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.
ISSN:2040-2295
2040-2309