A comparative study of kernel-based vector machines with probabilistic outputs for medical diagnosis-Reference-Cited by-同舟云学术

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A comparative study of kernel-based vector machines with probabilistic outputs for medical diagnosis

Published:2021-10 Issue:4 Volume:41 Page:1486-1504
ISSN:0208-5216
Container-title:Biocybernetics and Biomedical Engineering
language:en
Short-container-title:Biocybernetics and Biomedical Engineering

Author:

Qian Xusheng,Zhou Zhiyong,Hu Jisu,Zhu Jianbing,Huang He,Dai Yakang

Funder

Suzhou City Science and Technology Bureau

National Natural Science Foundation of China

Jiangsu Province Natural Science Foundation

Chinese Academy of Sciences Youth Innovation Promotion Association

Publisher

Elsevier BV

Subject

Biomedical Engineering

Reference91 articles.

1. Machine learning for medical diagnosis: history, state of the art and perspective;Kononenko;Artificial Intelligence in Medicine,2001

2. Specifics of medical data mining for diagnosis aid: A survey;Itani;Expert Systems with Applications,2019

3. A machine learning methodology for diagnosing chronic kidney disease;Qin;IEEE Access,2019

4. Chronic kidney disease is on the rise;Haileamlak;Ethiopian Journal of Health Sciences,2018

5. An optimized brain-based algorithm for classifying Parkinson’s disease;Olivares;Applied Sciences,2020

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