Artificial intelligence approaches using natural language processing to advance EHR-based clinical research.

Juhn, Young; Liu, Hongfang

Juhn, Young; Liu, Hongfang.

Affiliation

Juhn Y; Precision Population Science Lab, Division of Community Pediatric and Adolescent Medicine, Department of Pediatric and Adolescent Medicine, Rochester, Minn; Division of Allergy, Department of Medicine, Mayo Clinic, Rochester, Minn. Electronic address: juhn.young@mayo.edu.
Liu H; Division of Digital Health, Department of Health Sciences Research, Mayo Clinic, Rochester, Minn.

J Allergy Clin Immunol ; 145(2): 463-469, 2020 02.

Article in En | MEDLINE | ID: mdl-31883846

Subject(s)

Allergy and Immunology; Electronic Health Records; Natural Language Processing; Research Design; Humans

Key words

EHRs; algorithms; allergy; artificial intelligence; asthma; data mining; immunology; informatics; machine learning; natural language processing

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Natural Language Processing / Allergy and Immunology / Electronic Health Records Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Allergy Clin Immunol Year: 2020 Type: Article

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