Improving a full-text search engine: The importance of negation detection and family history context to identify cases in a biomedical data warehouse

Journal of the American Medical Informatics Association

Volumn 24, Issue 3, 2017, Pages 607-613

  Garcelon, Nicolas ^a,b   Neuraz, Antoine ^a,b   Benoit, Vincent ^a   Salomon, Rémi ^a,c   Burgun, Anita ^b,d  

^a IMAGINE INSTITUTE   (France)

^b INSERM   (France)

^c HÔPITAL NECKER ENFANTS MALADES   (France)

^d HÔPITAL EUROPÉEN GEORGES POMPIDOU   (France)

Author keywords

Data warehouse; Electronic health records; Natural language processing; Rare diseases; Search engine

Indexed keywords

ADULT; ARTICLE; CONSULTATION; CROHN DISEASE; DATA BASE; DIABETES MELLITUS; DIARRHEA; ELECTRONIC HEALTH RECORD; FAMILY HISTORY; HOSPITALIZATION; HUMAN; LUPUS VULGARIS; MAJOR CLINICAL STUDY; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; SEARCH ENGINE; ANAMNESIS; FAMILY HEALTH; INFORMATION RETRIEVAL; PROCEDURES; RARE DISEASE;

DATA WAREHOUSING; ELECTRONIC HEALTH RECORDS; FAMILY HEALTH; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MEDICAL HISTORY TAKING; NATURAL LANGUAGE PROCESSING; RARE DISEASES; SEARCH ENGINE;

EID: 85019668391     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocw144     Document Type: Article

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