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

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
  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