Article info

Download PDFPDF

Protocol
Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation

Authors

  • Chen Liang Department of Health Services Policy and Management, University of South Carolina, Columbia, South Carolina, USABig Data Health Science Center, University of South Carolina, Columbia, South Carolina, USA PubMed articlesGoogle scholar articles
  • Sharon Weissman Big Data Health Science Center, University of South Carolina, Columbia, South Carolina, USADepartment of Internal Medicine, University of South Carolina, Columbia, South Carolina, USA PubMed articlesGoogle scholar articles
  • Bankole Olatosi Department of Health Services Policy and Management, University of South Carolina, Columbia, South Carolina, USABig Data Health Science Center, University of South Carolina, Columbia, South Carolina, USA PubMed articlesGoogle scholar articles
  • Eric G Poon Department of Medicine, Duke University, Durham, North Carolina, USA PubMed articlesGoogle scholar articles
  • Michael E Yarrington Department of Medicine, Duke University, Durham, North Carolina, USA PubMed articlesGoogle scholar articles
  • Xiaoming Li Big Data Health Science Center, University of South Carolina, Columbia, South Carolina, USADepartment of Health Promotion Education and Behavior, University of South Carolina, Columbia, South Carolina, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Chen Liang; cliang{at}mailbox.sc.edu
View Full Text

Citation

Liang C, Weissman S, Olatosi B, et al
Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation

Publication history

  • Received August 5, 2022
  • Accepted August 25, 2022
  • First published September 13, 2022.
Online issue publication 
March 28, 2024

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.