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

Mobile Health (mhealth) (2974) Clinical Information and Decision Making (1426) mHealth for Data Collection and Research (974) Artificial Intelligence (1409) Decision Support for Health Professionals (1203) Wearable Devices and Sensors (900) New Methods (959) Machine Learning (1491) Innovations and Technology in Cancer Care (429) Innovations and Technology in Cancer Research (35) Innovations in Cancer Diagnostic and Decision Support (58)

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 (7) Tweetations (7) Metrics

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  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
  2. Hui R, Fan P, Aloweni F, Ang S. Wearable Devices for Vital Sign Monitoring in Hematology and Oncology Patients: An Integrative Review of Implementation Barriers and Detection Performance. American Medical Journal Oncology 2024:60 View
  3. Ortiz B, Gupta V, Kumar R, Jalin A, Cao X, Ziegenbein C, Singhal A, Tewari M, Choi S. Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care. JMIR mHealth and uHealth 2024;12:e59587 View
  4. Birla M, Rajan , Roy P, Gupta I, Malik P. Integrating Artificial Intelligence-Driven Wearable Technology in Oncology Decision-Making: A Narrative Review. Oncology 2024:1 View
  5. Jafleh E, Alnaqbi F, Almaeeni H, Faqeeh S, Alzaabi M, Al Zaman K. The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review. Cureus 2024 View
  6. Köhler C, Bartschke A, Fürstenau D, Schaaf T, Salgado-Baez E. The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research. Journal of Medical Internet Research 2024;26:e58936 View
  7. Tripathy S, Negi S, Mathur A, Mehta V. Technological innovations enhancing palliative care in cancer: A new era of patient care in India. Current Problems in Cancer 2025;54:101158 View