Development and Validation of an Algorithm to Identify Patients Newly Diagnosed with HIV Infection from Electronic Health Records-Reference-Cited by-同舟云学术

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Development and Validation of an Algorithm to Identify Patients Newly Diagnosed with HIV Infection from Electronic Health Records

Published:2014-07 Issue:7 Volume:30 Page:626-633
ISSN:0889-2229
Container-title:AIDS Research and Human Retroviruses
language:en
Short-container-title:AIDS Research and Human Retroviruses

Author:

Goetz Matthew Bidwell¹,Hoang Tuyen¹,Kan Virginia L.²,Rimland David³,Rodriguez-Barradas Maria⁴

Affiliation:

1. VA Greater Los Angeles Healthcare System and David Geffen School of Medicine, University of California, Los Angeles, California.

2. Washington DC VA Medical Center and George Washington University School of Medicine, Washington, District of Columbia.

3. Atlanta VA Medical Center and Emory University School of Medicine, Atlanta, Georgia.

4. Michael E. DeBakey VA Medical Center and Baylor University School of Medicine, Houston, Texas.

Publisher

Mary Ann Liebert Inc

Subject

Infectious Diseases,Virology,Immunology

Link

http://www.liebertpub.com/doi/pdf/10.1089/aid.2013.0287

Reference19 articles.

1. Differences in Human Immunodeficiency Virus Care and Treatment Among Subpopulations in the United States

2. Screening for HIV in Health Care Settings: A Guidance Statement From the American College of Physicians and HIV Medicine Association

3. Screening for HIV: U.S. Preventive Services Task Force Recommendation Statement

4. A System-wide Intervention to Improve HIV Testing in the Veterans Health Administration

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A general framework for developing computable clinical phenotype algorithms;Journal of the American Medical Informatics Association;2024-05-15

2. Electronic medical record-based prediction models developed and deployed in the HIV care continuum: a systematic review;Discover Health Systems;2024-05-11

3. HIV risk score and prediction model in the United States: A Scoping Review Protocol;2023-12-19

4. Generalizable pipeline for constructing HIV risk prediction models across electronic health record systems;Journal of the American Medical Informatics Association;2023-11-21

5. Electronic medical record-based prediction models developed and deployed in the HIV care continuum: a systematic review;2023-11-14

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