Corrigendum to “Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2” [J Biomed Inform. 2017 Nov;75S:S62–S70](S1532046417300874)(10.1016/j.jbi.2017.04.017));Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2

Journal of Biomedical Informatics

Volumn 75, Issue , 2017, Pages S62-S70

  Filannino, Michele ^a   Stubbs, Amber ^b   Uzuner, Özlem ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b SIMMONS COLLEGE   (United States)

Author keywords

CEGS N GRID; Clinical NLP; Neuropsychiatric records; Shared tasks; Symptom severity classification

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS;

CEGS N-GRID; CLINICAL NLP; DATA-DRIVEN APPROACH; MEAN ABSOLUTE ERROR; NEUROPSYCHIATRIC RECORDS; PSYCHIATRIC EVALUATION; SCIENTIFIC COMMUNITY; SHARED TASKS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ANALYTIC METHOD; ARTICLE; AUTOMATION; BENCHMARKING; CLINICAL EVALUATION; DISEASE CLASSIFICATION; DISEASE ONTOLOGY; DISEASE SEVERITY; HUMAN; INTERSECTORAL COLLABORATION; MACHINE LEARNING; MEDICAL RECORD; MENTAL DISEASE; NATURAL LANGUAGE PROCESSING; NOMENCLATURE; PREDICTION; PRIORITY JOURNAL; PSYCHIATRY; SCIENTIST; ELECTRONIC HEALTH RECORD; NEUROLOGIC DISEASE; SEVERITY OF ILLNESS INDEX;

ELECTRONIC HEALTH RECORDS; HUMANS; MENTAL DISORDERS; NATURAL LANGUAGE PROCESSING; NERVOUS SYSTEM DISEASES; SEVERITY OF ILLNESS INDEX;

EID: 85018457275     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2018.08.015     Document Type: Erratum

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