This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1447) Advanced Data Analytics in eHealth (189) Electronic Health Records (1254) Machine Learning (1927)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51842, first published .
Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation

Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation

Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation

Authors of this article:

Thomas J Reese1 Author Orcid Image ;   Henry J Domenico2 Author Orcid Image ;   Antonio Hernandez3 Author Orcid Image ;   Daniel W Byrne1, 2 Author Orcid Image ;   Ryan P Moore2 Author Orcid Image ;   Jessica B Williams4 Author Orcid Image ;   Brian J Douthit1 Author Orcid Image ;   Elise Russo1 Author Orcid Image ;   Allison B McCoy1 Author Orcid Image ;   Catherine H Ivory1 Author Orcid Image ;   Bryan D Steitz1 Author Orcid Image ;   Adam Wright1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Qiu Y, Xue W, Chen Y, He X, Zhao L, Tang M, Zhang H. Development and Validation of a Prediction Model for Dysphagia in Community-Dwelling Older Adults. Biological Research For Nursing 2025;27(2):300 View
  2. Reese T, Wiese A, Leech A, Domenico H, McNeer E, Davis S, Matheny M, Wright A, Patrick S. Adapting a Risk Prediction Tool for Neonatal Opioid Withdrawal Syndrome. Pediatrics 2025;155(4) View
  3. Deng Y, Liu M, Wang C, Liu Y, Deng H, Tang D, Zeng L, Jin Y, Cao D, Tao K, Liu G. Risk factors for hospital-acquired pressure injury in neurosurgery inpatients: a real-world prospective cohort study. Scientific Reports 2025;15(1) View