Machine learning models in predicting health care costs in patients with a recent acute coronary syndrome: A prospective pilot study-Reference-Cited by-同舟云学术

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Machine learning models in predicting health care costs in patients with a recent acute coronary syndrome: A prospective pilot study

Published:2023-08 Issue:4 Volume:4 Page:137-142
ISSN:2666-6936
Container-title:Cardiovascular Digital Health Journal
language:en
Short-container-title:Cardiovascular Digital Health Journal

Author:

Hautala Arto J.^ORCID,Shavazipour Babooshka^ORCID,Afsar Bekir,Tulppo Mikko P.,Miettinen Kaisa^ORCID

Funder

Academy of Finland

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Critical Care and Intensive Care Medicine,Biomedical Engineering

Reference30 articles.

1. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice;Visseren;Eur Heart J,2021

2. Economic burden of cardiovascular diseases in the enlarged European Union;Leal;Eur Heart J,2006

3. Spending on cardiovascular disease and cardiovascular risk factors in the United States: 1996 to 2016;Birger;Circulation,2021

4. Cost-effectiveness of optimizing prevention in patients with coronary heart disease: the EUROASPIRE III health economics project;De Smedt;Eur Heart J,2012

5. Health care priority setting: principles, practice and challenges;Mitton;Cost Eff Resour Alloc,2004

Cited by 1 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. Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation;Frontiers in Public Health;2024-05-28

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