Predicting the likelihood of heart failure with a multi level risk assessment using decision tree

2015 3rd International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2015

Volumn , Issue , 2015, Pages 101-106

  Aljaaf, A J ^a   Al Jumeily, D ^a   Hussain, A J ^a   Dawson, T ^b   Fergus, P ^a   Al Jumaily, M ^c  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b Rescon Limited   (United Kingdom)

^c Manama   (United Arab Emirates)

Author keywords

data mining; decision tree; heart failure; prediction and classification

Indexed keywords

CARDIOLOGY; DATA MINING; DECISION TREES; FORECASTING; HEART; LEARNING SYSTEMS; PREDICTIVE ANALYTICS; RISK ASSESSMENT; TREES (MATHEMATICS);

C4.5 DECISION TREE CLASSIFIER; CAUSES OF DEATH; DEVELOPING HEARTS; EARLY PREDICTION; HEART FAILURE; MACHINE LEARNING TECHNIQUES; PREDICTIVE MODELING; PREDICTIVE MODELS;

SAFETY ENGINEERING;

EID: 84936854916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TAEECE.2015.7113608     Document Type: Conference Paper

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