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...

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Veröffentlicht in:	BMC medical informatics and decision making Jg. 19; H. 1; S. 281 - 16
Hauptverfasser:	Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul, Moni, Mohammad Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 21.12.2019 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	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-Zugang:	Volltext
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