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

Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Artificial Intelligence (1421) Intensive Care Unit (ICU) (114)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23401, first published .
A Machine Learning–Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study

A Machine Learning–Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study

A Machine Learning–Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study

Authors of this article:

Sujeong Hur1, 2 Author Orcid Image ;   Ryoung-Eun Ko3 Author Orcid Image ;   Junsang Yoo4 Author Orcid Image ;   Juhyung Ha5 Author Orcid Image ;   Won Chul Cha2, 6, 7 Author Orcid Image ;   Chi Ryang Chung3 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

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  9. Strating T, Shafiee Hanjani L, Tornvall I, Hubbard R, Scott I. Navigating the machine learning pipeline: a scoping review of inpatient delirium prediction models. BMJ Health & Care Informatics 2023;30(1):e100767 View
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  11. Kim Y, Lee H, Woo H, Lee S, Hong M, Jung E, Yoo S, Lee J, Yon D, Kang B. Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort. Scientific Reports 2024;14(1) View