Machine learning algorithms identify hypokalaemia risk in people with hypertension in the United States National Health and Nutrition Examination Survey 1999

Machine learning algorithms identify hypokalaemia risk in people with hypertension in the United States National Health and Nutrition Examination Survey 1999–2018

Published:2023-05-10 Issue:1 Volume:55 Page:
ISSN:0785-3890
Container-title:Annals of Medicine
language:en
Short-container-title:Annals of Medicine

Author:

Lin Ziying¹^ORCID,Cheng Yuen Ting¹,Cheung Bernard Man Yung¹²³^ORCID

Affiliation:

1. Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, China

2. State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Pokfulam, China

3. Institute of Cardiovascular Science and Medicine, The University of Hong Kong, Pokfulam, China

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/07853890.2023.2209336

Reference41 articles.

1. Update on management of hypokalaemia and goals for the lower potassium level in patients with cardiovascular disease: a review in collaboration with the European Society of Cardiology Working Group on Cardiovascular Pharmacotherapy

2. New Guidelines for Potassium Replacement in Clinical Practice

3. Record linkage study of hypokalaemia in hospitalized patients.

4. Potassium disorders: hypokalemia and hyperkalemia;Viera AJ;Am Fam Physician,2015

5. Electrolyte Disorders in Community Subjects: Prevalence and Risk Factors

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