Using electronic patient records to discover disease correlations and stratify patient cohorts

PLoS Computational Biology

Volumn 7, Issue 8, 2011, Pages

  Roque, Francisco S ^a   Jensen, Peter B ^b   Schmock, Henriette ^c   Dalgaard, Marlene ^d   Andreatta, Massimo ^a   Hansen, Thomas ^c   Søeby, Karen ^e   Bredkjær, Søren ^c,f   Juul, Anders ^d   Werge, Thomas ^c   Jensen, Lars J ^b   Brunak, Søren ^a,b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c Mental Health Services CPH   (Denmark)

^d Rigshospitalet   (Denmark)

^e HVIDOVRE HOSPITAL   (Denmark)

^f Psychiatry Region Sealand   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE STATISTICS; DATA-SOURCE; ELECTRONIC PATIENT RECORD; FINE GRAINED; FREE TEXTS; INTERNATIONAL CLASSIFICATION OF DISEASE; LANGUAGE INDEPENDENTS; MEDICAL RECORD; ONTOLOGY'S; SYSTEMS BIOLOGY;

MEDICAL COMPUTING;

ACCURACY; ADULT; ARTICLE; COHORT ANALYSIS; COMORBIDITY; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA EXTRACTION; DATA MINING; DENMARK; DISEASE ASSOCIATION; ELECTRONIC MEDICAL RECORD; FEMALE; HEALTH STATISTICS; HUMAN; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MEDICAL INFORMATION; MEDICAL INFORMATION SYSTEM; PATIENT ASSESSMENT; PATIENT INFORMATION; SCHIZOPHRENIA; BIOLOGY; CLUSTER ANALYSIS; INFORMATION PROCESSING; METHODOLOGY; REPRODUCIBILITY;

CLUSTER ANALYSIS; COHORT STUDIES; COMORBIDITY; COMPUTATIONAL BIOLOGY; DATA COLLECTION; DATA MINING; ELECTRONIC HEALTH RECORDS; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; REPRODUCIBILITY OF RESULTS;

EID: 80052329143     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002141     Document Type: Article

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