TEMPTING system: A hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries

Journal of Biomedical Informatics

Volumn 46, Issue SUPPL., 2013, Pages

  Chang, Yung Chun ^a,b   Dai, Hong Jie ^c   Wu, Johnny Chi Yang ^a   Chen, Jian Ming ^a   Tsai, Richard Tzong Han ^d   Hsu, Wen Lian ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^d NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Hybrid method; Maximum entropy; Natural language processing; Temporal relation extraction; Text mining

Indexed keywords

DATA MINING; DIGITAL STORAGE; EXTRACTION; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

CHRONOLOGICAL ORDER; HYBRID METHOD; INTEGRATION ALGORITHM; MAXIMUM ENTROPY MODELING; MEDICAL INFORMATION; NATURAL LANGUAGE PROCESSING; TEMPORAL RELATION; TEXT MINING;

MAXIMUM ENTROPY METHODS;

ARTICLE; ENTROPY; HYBRID; MACHINE LEARNING; MEDICAL INFORMATICS; MEDICAL INFORMATION; MEDICAL PERSONNEL; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; PERFORMANCE; PRIORITY JOURNAL; TRAINING;

HYBRID METHOD; MAXIMUM ENTROPY; NATURAL LANGUAGE PROCESSING; TEMPORAL RELATION EXTRACTION; TEXT MINING;

ALGORITHMS; DATA MINING; DATABASES, FACTUAL; ELECTRONIC HEALTH RECORDS; HUMANS; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; PATIENT DISCHARGE SUMMARIES; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 84897052209     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.09.007     Document Type: Article

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