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

Artificial Intelligence (4877) Clinical Informatics (2321) Surgery, Trauma and Surgical Sciences (292) Electronic Health Records (1753) Machine Learning (3253)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86202, first published .
Medical team monitors patient data on screen showing risk prediction

Dynamic Prediction of Day Mortality in Patients With Trauma Using a Hybrid Neural Network Model: Model Development and Evaluation Study

Dynamic Prediction of Day Mortality in Patients With Trauma Using a Hybrid Neural Network Model: Model Development and Evaluation Study

Authors of this article:

Andreas Skov Millarch1 Author Orcid Image ;   Haytham Kaafarani2, 3 Author Orcid Image ;   Ibrahim Chamseddine3, 4 Author Orcid Image ;   Fredrik Folke5, 6 Author Orcid Image ;   Søren Steeman Rudolph1 Author Orcid Image ;   Martin Sillesen1, 6 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Andreas Skov Millarch   1 , Msc, PhD ;   Haytham Kaafarani   2, 3 , MD, MPH ;   Ibrahim Chamseddine   3, 4 , Phd ;   Fredrik Folke   5, 6 , MD, PhD ;   Søren Steeman Rudolph   1 , MD ;   Martin Sillesen   1, 6 , MD, PhD

1 Rigshospitalet, Copenhagen, Denmark

2 Division of Trauma, Emergency Surgery and surgical critical care, Mass General Brigham, Boston, MA, United States

3 Harvard University, boston, MA, United States

4 Department of Radiation Oncology, Mass General Brigham, Boston, MA, United States

5 Gentofte Hospital, Gentofte, Denmark

6 University of Copenhagen, Copenhagen, Capital Region, Denmark

Corresponding Author: