The Wisconsin breast cancer problem: Diagnosis and TTR/DFS time prognosis using probabilistic and generalised regression information classifiers

Oncology Reports

Volumn 15, Issue 4, 2006, Pages 975-981

  Anagnostopoulos, Ioannis ^a   Anagnostopoulos, Christos ^a   Vergados, Dimitrios ^a   Rouskas, Angelos ^a   Kormentzas, George ^a  

^a UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

Diagnosis; Information classifiers; Prognosis; Wisconsin breast cancer problem

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST TUMOR; DISEASE FREE SURVIVAL; FEMALE; HUMAN; NEEDLE BIOPSY; PATHOLOGY; PROGNOSIS; STATISTICAL MODEL; SURVIVAL;

BIOPSY, NEEDLE; BREAST NEOPLASMS; DISEASE-FREE SURVIVAL; FEMALE; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PROGNOSIS; SURVIVAL ANALYSIS;

EID: 33645765163     PISSN: 1021335X     EISSN: 17912431     Source Type: Journal    
DOI: 10.3892/or.15.4.975     Document Type: Article

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