Survival analysis of censored data: Neural network analysis detection of complex interactions between variables

Breast Cancer Research and Treatment

Volumn 32, Issue 1, 1994, Pages 113-118

  De Laurentiis, Michele ^a   Ravdin, Peter M ^a  

^a UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

Author keywords

axillary nodal status; breast cancer; neural networks; prognostic markers; staging; survival analysis

Indexed keywords

ARTICLE; BREAST CANCER; CANCER MORTALITY; CANCER STAGING; CANCER SURVIVAL; COMPUTER NETWORK; DATA ANALYSIS; HUMAN; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; REGRESSION ANALYSIS; RELAPSE;

BREAST NEOPLASMS; DATA INTERPRETATION, STATISTICAL; HUMAN; NEURAL NETWORKS (COMPUTER); PROGNOSIS; SUPPORT, U.S. GOV'T, P.H.S.; SURVIVAL ANALYSIS;

EID: 0028019225     PISSN: 01676806     EISSN: 15737217     Source Type: Journal    
DOI: 10.1007/BF00666212     Document Type: Article

References (10)

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6. Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction
7. Improved prediction of protein secondary structure by use of sequence profiles and neural networks
8. ROC plots: A fundamental evaluation tool in clinical medicine