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

Mobile Health (mhealth) (2748) Clinical Information and Decision Making (1315) mHealth for Data Collection and Research (907) Artificial Intelligence (1189) Decision Support for Health Professionals (1129) Wearable Devices and Sensors (812) New Methods (902) Machine Learning (1373) Innovations and Technology in Cancer Care (400) Innovations and Technology in Cancer Research (30) Innovations in Cancer Diagnostic and Decision Support (50)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47366, first published .
Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

Authors of this article:

Jen-Hsuan Liu1, 2, 3 Author Orcid Image ;   Chih-Yuan Shih3, 4 Author Orcid Image ;   Hsien-Liang Huang3, 4 Author Orcid Image ;   Jen-Kuei Peng3, 4 Author Orcid Image ;   Shao-Yi Cheng3, 4 Author Orcid Image ;   Jaw-Shiun Tsai3, 4 Author Orcid Image ;   Feipei Lai2, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Oeser A, Grieb N, Gaebel J, Franke S, Kubasch A, Merz M, Platzbecker U, Neumuth T. Künstliche Intelligenz in der Entscheidungsunterstützung und medikamentösen Tumortherapie. Die Onkologie 2024;30(5):380 View