SCOPUS 정보 검색 플랫폼

Volumn 15, Issue 4, 2006, Pages 1019-1022

Comparative study of intelligent models for the prediction of bladder cancer progression

(4) Abbod, M F a Linkens, D A a Catto, J W F a Hamdy, F C a

a UNIVERSITY OF SHEFFIELD (United Kingdom)

Author keywords

Artificial neural network; Bladder cancer; Methylation; Mismatch repair; Neuro fuzzy modelling; p53; Prognostic prediction

Indexed keywords

TUMOR MARKER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER TUMOR; COHORT ANALYSIS; COMPARATIVE STUDY; DISEASE COURSE; EVALUATION; FUZZY LOGIC; GENE EXPRESSION PROFILING; GENETICS; HUMAN; PATHOLOGY; PROGNOSIS; THEORETICAL MODEL; TRANSITIONAL CELL CARCINOMA; TUMOR SUPPRESSOR GENE;

CARCINOMA, TRANSITIONAL CELL; COHORT STUDIES; DISEASE PROGRESSION; FUZZY LOGIC; GENE EXPRESSION PROFILING; GENES, P53; HUMANS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PROGNOSIS; TUMOR MARKERS, BIOLOGICAL; URINARY BLADDER NEOPLASMS;

EID: 33645791889 PISSN: 1021335X EISSN: 17912431 Source Type: Journal
DOI: 10.3892/or.15.4.1019 Document Type: Article

Times cited : (6)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.