Artificial neural network: Predicted vs. observed survival in patients with colonic cancer

Diseases of the Colon and Rectum

Volumn 50, Issue 2, 2007, Pages 184-191

  Dolgobrodov, S G ^a   Moore, P ^a   Marshall, R ^a   Bittern, R ^b   Steele, R J C ^b   Cuschieri, A ^c  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

^c SCUOLA SUPERIORE SANT ANNA   (Italy)

Author keywords

Colorectal cancer; Partial Logistic Artificial Neural Network; Prediction individual cancer related survival

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER DIAGNOSIS; CANCER PATIENT; CANCER RISK; CANCER STAGING; CANCER SURVIVAL; COLON CANCER; CONTROLLED STUDY; DATA BASE; FEMALE; HUMAN; KAPLAN MEIER METHOD; MAJOR CLINICAL STUDY; MALE; PROGNOSIS; RANDOM SAMPLE; RELIABILITY; SURVIVAL RATE;

AGED; AGED, 80 AND OVER; COLONIC NEOPLASMS; FEMALE; HUMANS; INTERNET; MALE; MIDDLE AGED; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURVIVAL RATE; TREATMENT OUTCOME;

EID: 33846883996     PISSN: 00123706     EISSN: 15300358     Source Type: Journal    
DOI: 10.1007/s10350-006-0779-8     Document Type: Article

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