Approaches to Medical Decision-Making Based on Big Clinical Data
Joint Authors
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Malykh, V. L.& Rudetskiy, S. V.. 2018. Approaches to Medical Decision-Making Based on Big Clinical Data. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1187209
Modern Language Association (MLA)
Malykh, V. L.& Rudetskiy, S. V.. Approaches to Medical Decision-Making Based on Big Clinical Data. Journal of Healthcare Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1187209
American Medical Association (AMA)
Malykh, V. L.& Rudetskiy, S. V.. Approaches to Medical Decision-Making Based on Big Clinical Data. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1187209
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187209