Knowledge discovery in medicine: Current issue and future trend

•This paper reviews data mining application in medicine from 1999 to 2013.•Medical data mining definition and its main goals and challenges are clarified.•Comprehensive categorization is presented to complete previous works and integrate medical and data mining issues.•Each paper is studied from six...

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Veröffentlicht in:	Expert systems with applications Jg. 41; H. 9; S. 4434 - 4463
Hauptverfasser:	Esfandiari, Nura, Babavalian, Mohammad Reza, Moghadam, Amir-Masoud Eftekhari, Tabar, Vahid Kashani
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 01.07.2014 Elsevier
Schlagworte:	Applied sciences Biological and medical sciences Computer science; control theory; systems Computerized, statistical medical data processing and models in biomedicine Data mining Data mining algorithms Data mining application Data processing. List processing. Character string processing Disease Exact sciences and technology Extraction Medical Medical data mining Medical management aid. Diagnosis aid Medical sciences Medicine Memory organisation. Data processing Regression Software Tasks Trends Medicine Data mining algorithms Medical data mining Disease Data mining application Medical data Knowledge engineering Data type Prognosis Information extraction Data mining Relevance Biomedical data processing Classification Knowledge discovery Diagnosis Medical application Monitoring Multidisciplinary User need Data analysis Abstract Cluster Record format Medical screening Knowledge extraction Standards Surveillance User requirement
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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