Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure

Published:2024-11 Issue: Volume:191 Page:105534
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Davoudi Anahita^ORCID,Chae Sena,Evans Lauren,Sridharan Sridevi,Song Jiyoun^ORCID,Bowles Kathryn H.,McDonald Margaret V.^ORCID,Topaz Maxim

Funder

Agency for Healthcare Research and Quality

Publisher

Elsevier BV

Reference38 articles.

1. Post-acute and Long-term Care Providers and Services Users in the United States, 2017–2018;Sengupta;Vital Health Stat 3,2022

2. MedPAC. A Data Book: Health Care Spending and the Medicare Program. July 2023. Accessed October 2, 2023. https://www.medpac.gov/wp-content/uploads/2023/07/July2023_MedPAC_DataBook_SEC.pdf.

3. Home Health Care Use and Post-Discharge Outcomes After Heart Failure Hospitalizations;Sterling;JACC Heart Fail.,2020

4. National Burden of Heart Failure Events in the United States, 2006 to 2014;Jackson;Circ. Heart Fail.,2018

5. Improved outcomes with early collaborative care of ambulatory heart failure patients discharged from the emergency department;Lee;Circulation,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP