Using natural language processing for identification of herpes zoster ophthalmicus cases to support population‐based study

Importance Diagnosis codes are inadequate for accurately identifying herpes zoster (HZ) ophthalmicus (HZO). There is significant lack of population‐based studies on HZO due to the high expense of manual review of medical records. Background To assess whether HZO can be identified from the clinical n...

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Veröffentlicht in:	Clinical & experimental ophthalmology 2019-01, Vol.47 (1), p.7-14
Hauptverfasser:	Zheng, Chengyi, Luo, Yi, Mercado, Cheryl, Sy, Lina, Jacobsen, Steven J, Ackerson, Brad, Lewin, Bruno, Tseng, Hung Fu
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Aged, 80 and over Algorithms Diagnosis diagnosis code electronic medical record Epidemiology Eye Infections, Viral - diagnosis Eye Infections, Viral - virology Female Follow-Up Studies Geriatrics Herpes zoster Herpes zoster ophthalmicus Herpes Zoster Ophthalmicus - diagnosis Herpes Zoster Ophthalmicus - virology Herpesvirus 3, Human Humans HZO Language Male Males Medical records Middle Aged Natural Language Processing Older people Ophthalmology Population Population studies Population Surveillance - methods Population-based studies Reproducibility of Results Retrospective Studies ROC Curve Young Adult
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