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Article

Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.

Journal of the American Medical Informatics Association : JAMIA - 1 Dec 2013

Lyalina Svetlana, Percha Bethany, LePendu Paea, Iyer Srinivasan V, Altman Russ B, Shah Nigam H

Abstract excerpt

OBJECTIVE: Mental illness is the leading cause of disability in the USA, but boundaries between different mental illnesses are notoriously difficult to define. Electronic medical records (EMRs) have recently emerged as a powerful new source of information for defining the phenotypic signatures of specific diseases. We investigated how EMR-based text mining and statistical analysis could elucidate the phenotypic...

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Identifiers

PMID: 23956017
DOI: 10.1136/amiajnl-2013-001933
PMCID: PMC3861917

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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