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Identifying Pneumonia Subtypes from Electronic Health Records Using Rule-Based Algorithms.
Hegde, Harshad; Glurich, Ingrid; Panny, Aloksagar; Vedre, Jayanth G; VanWormer, Jeffrey J; Berg, Richard; Scannapieco, Frank A; Miecznikowski, Jeffrey; Acharya, Amit.
Afiliação
  • Hegde H; Center for Oral and Systemic Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States.
  • Glurich I; Center for Oral and Systemic Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States.
  • Panny A; Center for Oral and Systemic Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States.
  • Vedre JG; Department of Critical Care Medicine, Marshfield Clinic Health System, Marshfield, Wisconsin, United States.
  • VanWormer JJ; Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States.
  • Berg R; Office of Research Computing and Analytics, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States.
  • Scannapieco FA; Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, New York, United States.
  • Miecznikowski J; Department of Biostatistics, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York, United States.
  • Acharya A; Center for Oral and Systemic Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States.
Methods Inf Med ; 61(1-02): 29-37, 2022 05.
Article em En | MEDLINE | ID: mdl-35299265
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Pneumonia / Registros Eletrônicos de Saúde Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Methods Inf Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Pneumonia / Registros Eletrônicos de Saúde Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Methods Inf Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos