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Volumn 46, Issue 1-2, 2007, Pages 88-94

Artificial neural networks and risk stratification: A promising combination

Author keywords

Cardiology; D'Agostino; Diagnosis; Framingham; Neural networks

Indexed keywords

DIAGNOSIS; MATHEMATICAL MODELS; MEDICAL COMPUTING; RISK ASSESSMENT;

EID: 34247490687     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2006.12.024     Document Type: Article
Times cited : (10)

References (13)
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    • One-year mortality prognosis in heart failure: A neural network approach based on electrocardiographic data
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  • 8
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  • 9
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    • Comparison or artificial neural networks with logistic regression in prediction of in-hospital death after percutaneous transluminal coronary angioplasty
    • Freeman R.V., Eagle K.A., and Bates E.R. Comparison or artificial neural networks with logistic regression in prediction of in-hospital death after percutaneous transluminal coronary angioplasty. American Heart Journal 140 (2000) 511-520
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  • 10
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    • Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.