Artificial neural network-based study can predict gastric cancer staging

Hepato-Gastroenterology

Volumn 55, Issue 86-87, 2008, Pages 1859-1863

  Lai, Kuang Chi ^a,c   Chiang, Hung Chih ^b   Chen, Wen Chi ^a   Tsai, Fuu Jen ^a   Jeng, Long Bin ^a  

^a CHINA MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^b CHING YUN UNIVERSITY   (Taiwan)

^c CHINA MEDICAL UNIVERSITY BEIGANG HOSPITAL   (Taiwan)

Author keywords

Artificial neural networks; Gastric cancer; Genetic polymorphisms

Indexed keywords

INTERLEUKIN 1; INTERLEUKIN 4; PROTEIN P21; PROTEIN P53;

ACCURACY; ADULT; ADVANCED CANCER; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER GROWTH; CANCER STAGING; CLINICAL FEATURE; COMPUTER PREDICTION; EARLY CANCER; FEMALE; GENETIC POLYMORPHISM; GENETIC SUSCEPTIBILITY; GENOTYPE; HUMAN; MAJOR CLINICAL STUDY; MALE; PATIENT CARE; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; PROGNOSIS; STOMACH ADENOCARCINOMA; STOMACH CANCER; STOMACH CARCINOGENESIS;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; INTERLEUKIN-1; INTERLEUKIN-4; MALE; MIDDLE AGED; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); STOMACH NEOPLASMS;

EID: 57049134101     PISSN: 01726390     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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