Machine learning optimization of an electronic health record audit for heart failure in primary care-Reference-Cited by-同舟云学术

Machine learning optimization of an electronic health record audit for heart failure in primary care

Published:2021-11-23 Issue:1 Volume:9 Page:39-47
ISSN:2055-5822
Container-title:ESC Heart Failure
language:en
Short-container-title:ESC Heart Failure

Author:

Raat Willem¹^ORCID,Smeets Miek¹,Henrard Severine²,Aertgeerts Bert¹,Penders Joris³⁴,Droogne Walter⁵,Mullens Wilfried³⁴,Janssens Stefan⁵,Vaes Bert¹

Affiliation:

1. Department of Public Health and Primary Care KU Leuven Leuven Belgium

2. Louvain Drug Research Institute, Clinical Pharmacy Research Group (CLIP) and Institute of Health and Society (IRSS) Université catholique de Louvain (UCLouvain) Brussels Belgium

3. Ziekenhuis Oost‐Limburg Genk Belgium

4. University of Hasselt Hasselt Belgium

5. Department of Cardiovascular Diseases University Hospitals Leuven, KU Leuven Leuven Belgium

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ehf2.13724

Reference29 articles.

1. Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals

2. Near-home heart failure care

3. Prevalence of unrecognized heart failure in older persons with shortness of breath on exertion

4. Adequacy of diagnosis and treatment of chronic heart failure in primary health care in Sweden

5. Overdiagnosis of heart failure in primary care: a cross-sectional study

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