Acute coronary syndrome prediction using data mining techniques- An application

World Academy of Science, Engineering and Technology

Volumn 59, Issue , 2009, Pages 474-478

  Jilani, Tahseen A ^a   Yasin, Huda ^a   Yasin, Madiha ^b   Ardil, Cemal ^c  

^a UNIVERSITY OF KARACHI   (Pakistan)

^b Liaquat College of Medicine and Dentistry   (Pakistan)

^c Azerbaijan National Academy of Aviation   (Azerbaijan)

Author keywords

Acute coronary syndrome (ACS); Binary logistic regression analyses; Myocardial ischemia (MI); Principle component analysis; Unstable angina (U.A.)

Indexed keywords

ACUTE CORONARY SYNDROMES; BINARY LOGISTIC REGRESSION; BINARY REGRESSION; DATA MINING TECHNIQUES; DATA SETS; DEPENDENT VARIABLES; INDEPENDENT VARIABLES; MYOCARDIAL ISCHEMIA; PAKISTAN; PRINCIPLE COMPONENT ANALYSIS; REGRESSION MODEL; UNSTABLE ANGINA (U.A.);

DATA MINING; DATA REDUCTION; DIAGNOSIS; HEART; STATISTICS; REGRESSION ANALYSIS;

REGRESSION ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 78651526398     PISSN: 2010376X     EISSN: 20103778     Source Type: Journal    
DOI: None     Document Type: Article

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