Artificial neural networks improve the accuracy of cancer survival prediction

Cancer

Volumn 79, Issue 4, 1997, Pages 857-862

  Burke, Harry B ^a   Goodman, Philip H ^b   Rosen, David B ^a   Henson, Donald E ^c   Weinstein, John N ^c   Harrell Jr , Frank E ^d   Marks, Jeffrey R ^e   Winchester, David P ^f,g   Bostwick, David G ^h  

^a NEW YORK MEDICAL COLLEGE   (United States)

^b UNIVERSITY OF NEVADA SCHOOL OF MEDICINE   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

^d UNIVERSITY OF VIRGINIA   (United States)

^e DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f EVANSTON HOSPITAL   (United States)

^g AMERICAN COLLEGE OF SURGEONS   (United States)

^h MAYO CLINIC   (United States)

Author keywords

artificial neural networks; breast carcinoma; clinical trials; colorectal carcinoma; decision making; outcomes; prognostic factors; quality assurance; survival; TNM staging system

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; CANCER SIZE; CANCER SURVIVAL; COLORECTAL CANCER; EPIDEMIOLOGICAL DATA; HUMAN; MAJOR CLINICAL STUDY; MEDICAL DECISION MAKING; METASTASIS; PRIORITY JOURNAL; PROGNOSIS; QUALITY CONTROL; STATISTICAL MODEL; TREATMENT OUTCOME;

BREAST NEOPLASMS; COLORECTAL NEOPLASMS; HUMANS; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); PROBABILITY; PROGNOSIS; SURVIVAL RATE;

EID: 0031047117     PISSN: 0008543X     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0142(19970215)79:4<857::AID-CNCR24>3.0.CO;2-Y     Document Type: Article

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