Prediction of survival from carcinoma of oesophagus and oesophago-gastric junction following surgical resection using an artificial neural network

European Journal of Surgical Oncology

Volumn 32, Issue 5, 2006, Pages 533-539

  Mofidi, R ^a   Deans, C ^a   Duff, M D ^a   de Beaux, A C ^a   Paterson Brown, S ^a  

^a ROYAL INFIRMARY OF EDINBURGH   (United Kingdom)

Author keywords

Artificial neural network; Oesophageal carcinoma; Survival

Indexed keywords

CISPLATIN; FLUOROURACIL;

ACCURACY; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY MASS; CANCER CLASSIFICATION; CANCER COMBINATION CHEMOTHERAPY; CANCER SURVIVAL; COMPUTER PROGRAM; CONTROLLED STUDY; CORRELATION ANALYSIS; ESOPHAGUS CARCINOMA; FEMALE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; LOWER ESOPHAGUS SPHINCTER; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; POSTOPERATIVE PERIOD; PREDICTION; PREDICTIVE VALIDITY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; STOMACH CARCINOMA; SURVIVAL RATE; SURVIVAL TIME;

ADULT; AGED; AGED, 80 AND OVER; ANTINEOPLASTIC COMBINED CHEMOTHERAPY PROTOCOLS; BODY MASS INDEX; CARCINOMA; ESOPHAGEAL NEOPLASMS; ESOPHAGOGASTRIC JUNCTION; FEMALE; FOLLOW-UP STUDIES; FORECASTING; HUMANS; LYMPHATIC METASTASIS; MALE; MIDDLE AGED; NEOADJUVANT THERAPY; NEOPLASM INVASIVENESS; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; STOMACH NEOPLASMS; SURVIVAL RATE; TREATMENT OUTCOME;

EID: 33646789856     PISSN: 07487983     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejso.2006.02.020     Document Type: Article

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