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

Mobile Health (mhealth) (3464) Clinical Information and Decision Making (1915) mHealth for Data Collection and Research (1196) Artificial Intelligence (2129) Decision Support for Health Professionals (1539) Wearable Devices and Sensors (1133) New Methods (1134) Machine Learning (2076) Innovations and Technology in Cancer Care (531) Innovations and Technology in Cancer Research (43) Innovations in Cancer Diagnostic and Decision Support (109)

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 (24) 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
  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
  8. Lee H, Kim Y, Kim J, Kim S, Jeong T. Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study. Journal of Medical Internet Research 2025;27:e63983 View
  9. Valero-Ramon Z, Ibanez-Sanchez G, Martinez-Millana A, Fernandez-Llatas C. Personalised Risk Modelling for Older Adult Cancer Survivors: Combining Wearable Data and Self-Reported Measures to Address Time-Varying Risks. Sensors 2025;25(7):2097 View
  10. García Abejas A, Geraldes Santos D, Leite Costa F, Cordero Botejara A, Mota-Filipe H, Salvador Vergés À. Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review. Interactive Journal of Medical Research 2025;14:e73517 View
  11. Hirani R, Podder D, Stala O, Mohebpour R, Tiwari R, Etienne M. Strategies to Reduce Hospital Length of Stay: Evidence and Challenges. Medicina 2025;61(5):922 View
  12. Wu Q, Liao Y, Brannon G. Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient‐Centered Communication Dimension Effects. Health Services Research 2025 View
  13. Narvaez R, Ferrer M, Peco R, Mejilla J. Artificial intelligence in symptom management and clinical decision support for palliative care. International Journal of Palliative Nursing 2025;31(6):294 View
  14. Gebuza M, Górczyńska J, Paczos W, Pieczara S, Rekiel K, Urbanowicz P, Kulbacki M, Novickij V, Kulbacka J. Exploring the mechanical and electrical properties of cancer cells for improved diagnosis and treatment. Archives of Biochemistry and Biophysics 2025;773:110599 View
  15. Bozkurt S, Fereydooni S, Kar I, Chalmers C, Leslie S, Pathak R, Walling A, Lindvall C, Lorenz K, Parikh R, Quest T, Giannitrapani K, Kavalieratos D. AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation. Journal of Pain and Symptom Management 2025;70(6):e394 View
  16. Abuhammad S. Artificial intelligence and palliative care. International Journal of Palliative Nursing 2025;31(8):367 View
  17. Paludo J. EXABS-230-ABCL: Potential of AI Remote Patient Monitoring for Lymphoma. Clinical Lymphoma Myeloma and Leukemia 2025;25:S142 View
  18. Arioz U, Allsop M, Goodman W, Timmons S, Simbirtseva K, Mlakar I, Mocnik G. Artificial intelligence-based approaches for advance care planning: a scoping review. BMC Palliative Care 2025;24(1) View
  19. Iannone S, Kaur A, Johnson K. Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions. Journal of General Internal Medicine 2025 View
  20. Zhai P, Xu W, Duan G, Wu Y, Qi M, Chang L, Mu W. Artificial intelligence-integrated wearable biomedical devices for cancer management. Journal of the National Cancer Center 2025 View
  21. Kumar A, Goel S, Chaudhary A, Dutt S, Mishra V, Kumar R. Artificial Intelligence-Based Wearable Sensing Technologies for the Management of Cancer, Diabetes, and COVID-19. Biosensors 2025;15(11):756 View
  22. Mei H, Zhao C, Jin H, Qi W, Lu X, Xin Y, Wang W, Sun Y, Li W. Bidirectional crosstalk between sleep disorders and gynecological cancers: unraveling molecular synergies and precision therapeutics. Frontiers in Medicine 2025;12 View
  23. Zhang Y, Zhou W, Zhang C, Xing Y, Liu Y, Sun J, Luan W. Application of digital technology intervention in palliative care: a scoping review. BMC Palliative Care 2025 View

Conference Proceedings

  1. Ziegenbein C, Ortiz B, Gupta V, Choi S. 2024 IEEE International Conference on Big Data (BigData). Preparing Wearable Data for AI-Powered Mood and Compliance Prediction in HCT Patients and Caregivers View