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Ascertainment of asthma prognosis using natural language processing from electronic medical records.
Sohn, Sunghwan; Wi, Chung-Il; Wu, Stephen T; Liu, Hongfang; Ryu, Euijung; Krusemark, Elizabeth; Seabright, Alicia; Voge, Gretchen A; Juhn, Young J.
Affiliation
  • Sohn S; Department of Health Science Research, Mayo Clinic, Rochester, Minn.
  • Wi CI; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn; Asthma Epidemiology Research Unit, Mayo Clinic, Rochester, Minn.
  • Wu ST; Oregon Health & Science University, Portland, Ore.
  • Liu H; Department of Health Science Research, Mayo Clinic, Rochester, Minn.
  • Ryu E; Department of Health Science Research, Mayo Clinic, Rochester, Minn.
  • Krusemark E; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn; Asthma Epidemiology Research Unit, Mayo Clinic, Rochester, Minn.
  • Seabright A; Asthma Epidemiology Research Unit, Mayo Clinic, Rochester, Minn.
  • Voge GA; Division of Neonatology, Children's Hospitals and Clinics of Minnesota, Minneapolis, Minn.
  • Juhn YJ; Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn; Asthma Epidemiology Research Unit, Mayo Clinic, Rochester, Minn. Electronic address: Juhn.young@mayo.edu.
J Allergy Clin Immunol ; 141(6): 2292-2294.e3, 2018 06.
Article in En | MEDLINE | ID: mdl-29438770

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prognosis / Asthma / Natural Language Processing / Electronic Health Records Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Allergy Clin Immunol Year: 2018 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prognosis / Asthma / Natural Language Processing / Electronic Health Records Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Allergy Clin Immunol Year: 2018 Type: Article