SCOPUS 정보 검색 플랫폼

Journal of Computer-Aided Molecular Design

Volumn 25, Issue 9, 2011, Pages 855-871

Mixed learning algorithms and features ensemble in hepatotoxicity prediction

(3) Liew, Chin Yee a Lim, Yen Ching a Yap, Chun Wei a

a NATIONAL UNIVERSITY OF SINGAPORE (Singapore)

Author keywords

Consensus; Drug discovery; Drug induced liver injuries; Ensemble; Hepatotoxicity; k Nearest neighbor; Meta learner; Mixed algorithm; Mixed variables; Naive Bayes; Prediction; QSTR; Support vector machine

Indexed keywords

LEARNING ALGORITHMS; NEAREST NEIGHBOR SEARCH; POSITIVE IONS;

CONSENSUS; DRUG DISCOVERY; DRUG-INDUCED LIVER INJURY; ENSEMBLE; HEPATOTOXICITY; LIVER INJURIES; META-LEARNER; MIXED ALGORITHM; MIXED VARIABLES; NAIVE BAYES; QSTR; SUPPORT VECTORS MACHINE;

FORECASTING;

DRONEDARONE;

ARTICLE; CLASSIFICATION ALGORITHM; COMPUTER MODEL; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE ASSOCIATION; DRUG INFORMATION; DRUG SAFETY; INJURY SEVERITY; LEARNING ALGORITHM; LIVER INJURY; LIVER TOXICITY; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

EID: 80054917638 PISSN: 0920654X EISSN: 15734951 Source Type: Journal
DOI: 10.1007/s10822-011-9468-3 Document Type: Article

Times cited : (82)

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