Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses-Reference-Cited by-同舟云学术

Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses

Published:2023-06 Issue:2 Volume:12 Page:100754
ISSN:2211-8837
Container-title:Health Policy and Technology
language:en
Short-container-title:Health Policy and Technology

Author:

Young Daniel L.^ORCID,Engels Rebecca,Colantuoni Elizabeth,Friedman Lisa Aronson^ORCID,Hoyer Erik H.

Funder

Agency for Healthcare Research and Quality

Publisher

Elsevier BV

Subject

Health Policy,Biomedical Engineering

Reference45 articles.

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1. Corrigendum to ‘Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses’ [Health Policy and Technology 12 (2023) 100,754];Health Policy and Technology;2023-12

2. RAPT and AM-PAC “6-Clicks”: Do They Correlate on Predicting Discharge Destination After Total Joint Arthroplasty?;HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery;2023-11-25

3. Effect of Acute Care Discharge Delays on Inpatient Rehabilitation Effect of Acute Care Discharge Delays on Inpatient Rehabilitation Facility (IRF) Utilization Facility (IRF) Utilization