Artificial neural network for the joint modelling of discrete cause-specific hazards

Artificial Intelligence in Medicine

Volumn 37, Issue 2, 2006, Pages 119-130

  Biganzoli, Elia M ^a   Boracchi, Patrizia ^b   Ambrogi, Federico ^a   Marubini, Ettore ^b  

^a NATIONAL CANCER INSTITUTE   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

Author keywords

Artificial neural networks; Cause specific hazards; Competing risks; Generalized linear models

Indexed keywords

BIOLOGICAL ORGANS; DISEASES; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; POLYNOMIAL APPROXIMATION; REGRESSION ANALYSIS; SURGERY;

CAUSE-SPECIFIC HAZARDS; COMPETING RISKS; ERROR FUNCTIONS; GENERALIZED LINEAR MODELS;

HEALTH HAZARDS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; HAZARD; HISTOLOGY; LOGISTIC REGRESSION ANALYSIS; METASTASIS; PRIORITY JOURNAL; STATISTICAL MODEL; TUMOR RECURRENCE;

ADULT; AGED; ALGORITHMS; BREAST NEOPLASMS; FEMALE; HUMANS; LOGISTIC MODELS; LYMPHATIC METASTASIS; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; RISK FACTORS; SURVIVAL ANALYSIS; TREATMENT FAILURE;

EID: 33744547243     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2006.01.004     Document Type: Article

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