Comparing different supervised machine learning algorithms for disease prediction

Background Supervised machine learning algorithms have been a dominant method in the data mining field. Disease prediction using health data has recently shown a potential application area for these methods. This study aims to identify the key trends among different types of supervised machine learn...

Full description

Saved in:

Bibliographic Details
Published in:	BMC medical informatics and decision making Vol. 19; no. 1; pp. 281 - 16
Main Authors:	Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul, Moni, Mohammad Ali
Format:	Journal Article
Language:	English
Published:	London BioMed Central 21.12.2019 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Analysis Bayes Theorem Bayesian analysis Classification Clinical Decision Rules Data Mining Datasets Diabetes Disease Disease prediction Health Informatics Health risks Humans Identification methods Information Systems and Communication Service Learning algorithms Machine Learning Management of Computing and Information Systems Medical data Medical research Medicine Medicine & Public Health modeling Research Article Risk Factors Supervised machine learning algorithm Support Vector Machine Support vector machines technology Trends Taiwan Medical data Supervised machine learning algorithm Machine learning Disease prediction
ISSN:	1472-6947, 1472-6947
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!