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Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment.
Panahiazar, Maryam; Bishara, Andrew M; Chern, Yorick; Alizadehsani, Roohallah; Latif, Omar S; Hadley, Dexter; Beygui, Ramin E.
Afiliação
  • Panahiazar M; Department of Surgery, Division of Cardiothoracic Surgery, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Bishara AM; Bakar Computational Health Sciences Institute, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Chern Y; Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, USA.
  • Alizadehsani R; Bakar Computational Health Sciences Institute, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Latif OS; Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA.
  • Hadley D; Institute for Intelligent Systems Research and Innovation, Deakin University, Australia.
  • Beygui RE; Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Stud Health Technol Inform ; 290: 1080-1081, 2022 Jun 06.
Article em En | MEDLINE | ID: mdl-35673215
ABSTRACT
Early detection plays a key role to enhance the outcome for Coronary Artery Disease. We utilized a big data analytics platform on ∼32,000 patients to trace patients from the first encounter to CAD treatment. There are significant gender-based differences in patients younger than 60 from the time of the first encounter to Coronary Artery Bypass Grafting with a p-value=0.03. This recognition makes significant changes in outcome by avoiding delay in treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE 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 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos