Sequential versus standard neural networks for pattern recognition: An example using the domain of coronary heart disease

Computers in Biology and Medicine

Volumn 27, Issue 4, 1997, Pages 267-281

  Ohno Machado, Lucila ^a   Musen, Mark A ^b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Artificial neural networks; Coronary heart disease; Prognosis; Survival analysis

Indexed keywords

CARDIOLOGY; COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; DISEASES; MEDICAL APPLICATIONS; PATTERN RECOGNITION;

CORONARY HEART DISEASE; PROGNOSIS; SURVIVAL ANALYSIS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER NETWORK; DISEASE COURSE; ISCHEMIC HEART DISEASE; PRIORITY JOURNAL; PROGNOSIS; SURVIVAL TIME;

ADULT; AGE FACTORS; ALGORITHMS; AREA UNDER CURVE; BLOOD PRESSURE; BODY WEIGHT; CAUSE OF DEATH; CHOLESTEROL; CORONARY DISEASE; DATABASES; DEMOGRAPHY; DISEASE PROGRESSION; DISEASE-FREE SURVIVAL; EVALUATION STUDIES; FOLLOW-UP STUDIES; FORECASTING; HUMANS; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; NEURAL NETWORKS (COMPUTER); OUTCOME ASSESSMENT (HEALTH CARE); PATTERN RECOGNITION, AUTOMATED; PROGNOSIS; ROC CURVE; SMOKING; SURVIVAL ANALYSIS; TIME FACTORS;

EID: 0031193620     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(97)00008-5     Document Type: Article

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