Knowledge discovery in cardiology: A systematic literature review

International Journal of Medical Informatics

Volumn 97, Issue , 2017, Pages 12-32

  Kadi, I ^a   Idri, A ^b   Fernandez Aleman, J L ^b  

^a MOHAMMED V UNIVERSITY   (Morocco)

^b UNIVERSITY OF MURCIA   (Spain)

Author keywords

Cardiology; Data mining; Knowledge extraction; Medical tasks

Indexed keywords

CARDIOLOGY; DECISION MAKING; DECISION TREES; MEDICAL COMPUTING; SUPPORT VECTOR MACHINES;

ACCURACY RATE; EMPIRICAL STUDIES; KNOWLEDGE EXTRACTION; LARGE DATASETS; MEDICAL TASKS; PREDICTION TECHNIQUES; REVIEW PAPERS; SYSTEMATIC LITERATURE REVIEW;

DATA MINING;

ACCURACY; ALGORITHM; ARTIFICIAL NEURAL NETWORK; CARDIOLOGY; CARDIOVASCULAR RISK; DATA MINING; DECISION SUPPORT SYSTEM; DECISION TREE; HUMAN; KNOWLEDGE DISCOVERY; PREDICTION; PRIORITY JOURNAL; QUALITY CONTROL; REVIEW; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; EDUCATION; PROCEDURES; THEORETICAL MODEL;

CARDIOLOGY; DATA MINING; DECISION TREES; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); SUPPORT VECTOR MACHINE;

EID: 84988689033     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2016.09.005     Document Type: Review

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