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

Non-randomized Protocols and Methods (ehealth) (679) Clinical Information and Decision Making (1935) Artificial Intelligence (2162) Health Services Research (560) Decision Support for Health Professionals (1555) Machine Learning (2095) Electronic Health Records (1331)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48521, first published .
Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study

Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study

Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study

Authors of this article:

Sarah E Ser1 Author Orcid Image ;   Kristen Shear2 Author Orcid Image ;   Urszula A Snigurska2 Author Orcid Image ;   Mattia Prosperi1 Author Orcid Image ;   Yonghui Wu3 Author Orcid Image ;   Tanja Magoc4 Author Orcid Image ;   Ragnhildur I Bjarnadottir2 Author Orcid Image ;   Robert J Lucero2, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Šajnović U, Vošner H, Završnik J, Žlahtič B, Kokol P. Internet of Things and Big Data Analytics in Preventive Healthcare: A Synthetic Review. Electronics 2024;13(18):3642 View
  2. Celso B, Ser S, Snigurska U, Solberg L, Duckworth L, Dunn E, Prosperi M, Lucero R, Bjarnadottir R. Reconstruction of a Risk Analysis Tool That Uses Nursing Data for Frailty Assessment Among Older Adults: Derivation and Internal Evaluation Study. JMIR Aging 2025;8:e67888 View