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Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients.
Keloth, Vipina K; Zhou, Shuxin; Lindemann, Luke; Zheng, Ling; Elhanan, Gai; Einstein, Andrew J; Geller, James; Perl, Yehoshua.
Afiliação
  • Keloth VK; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA. vk396@njit.edu.
  • Zhou S; Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA.
  • Lindemann L; School of Medicine and Health Sciences, The George Washington University, Washington (D.C.), USA.
  • Zheng L; Computer Science and Software Engineering Department, Monmouth University, West Long Branch, NJ, USA.
  • Elhanan G; Renown Institute for Health Innovation, Desert Research Institute, Reno, NV, USA.
  • Einstein AJ; Cardiology Division, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Geller J; Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
  • Perl Y; Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA.
BMC Med Inform Decis Mak ; 23(Suppl 1): 40, 2023 02 24.
Article em En | MEDLINE | ID: mdl-36829139
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article