Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23595, first published .
Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study

Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study

Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study

Journals

  1. Somani S, Yu K, Chiu A, Sykes K, Villwock J. Consumer Wearables for Patient Monitoring in Otolaryngology: A State of the Art Review. Otolaryngology–Head and Neck Surgery 2022;167(4):620 View
  2. Spitzer H, Yang R, Bohan P, Chang S, Grunkemeier G, Vreeland T, Nelson D. Preoperative Risk Prediction for Pancreatectomy: A Comparative Analysis of Three Scoring Systems. Journal of Surgical Research 2022;279:374 View
  3. Lee W, Schwartz N, Bansal A, Khor S, Hammarlund N, Basu A, Devine B. A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 1—Data From Wearable Devices. Value in Health 2023;26(2):292 View
  4. Schlanger D, Graur F, Popa C, Moiș E, Al Hajjar N. The role of artificial intelligence in pancreatic surgery: a systematic review. Updates in Surgery 2022;74(2):417 View
  5. Mulita F, Verras G, Anagnostopoulos C, Kotis K. A Smarter Health through the Internet of Surgical Things. Sensors 2022;22(12):4577 View
  6. Matthews L, Levett D, Grocott M. Perioperative Risk Stratification and Modification. Anesthesiology Clinics 2022;40(1):e1 View
  7. Xiao J, Mo M, Wang Z, Zhou C, Shen J, Yuan J, He Y, Zheng Y. The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study. JMIR Medical Informatics 2022;10(2):e33440 View
  8. Rastpour A, McGregor C. Predicting Patient Wait Times by Using Highly Deidentified Data in Mental Health Care: Enhanced Machine Learning Approach. JMIR Mental Health 2022;9(8):e38428 View
  9. Mukasa C, Kovacheva V. Development and implementation of databases to track patient and safety outcomes. Current Opinion in Anaesthesiology 2022;35(6):710 View
  10. Greenberg J, Frumkin M, Javeed S, Zhang J, Dai R, Molina C, Pennicooke B, Agarwal N, Santiago P, Goodwin M, Jain D, Pallotta N, Gupta M, Buchowski J, Leuthardt E, Ghogawala Z, Kelly M, Hall B, Piccirillo J, Lu C, Rodebaugh T, Ray W. Feasibility and Acceptability of a Preoperative Multimodal Mobile Health Assessment in Spine Surgery Candidates. Neurosurgery 2023;92(3):538 View
  11. Kos M, Brouwer C, van Laarhoven H, Hopman M, van Oijen M, Buffart L. The association between wearable device metrics and clinical outcomes in oncology: A systematic review with evidence synthesis and meta-analysis. Critical Reviews in Oncology/Hematology 2023;185:103979 View
  12. Limbach K, Fan D, Melstrom L. Remote Telemonitoring and Telehealth in Surgical Oncology. Advances in Oncology 2023;3(1):21 View
  13. Wall N, Fuller R, Morcos A, De Leon M. Pancreatic Cancer Health Disparity: Pharmacologic Anthropology. Cancers 2023;15(20):5070 View
  14. Zarate Rodriguez J, Cos H, Koenen M, Cook J, Kasting C, Raper L, Guthrie T, Strasberg S, Hawkins W, Hammill C, Fields R, Chapman W, Eberlein T, Kozower B, Sanford D. Impact of Prehabilitation on Postoperative Mortality and the Need for Non-Home Discharge in High-Risk Surgical Patients. Journal of the American College of Surgeons 2023;237(3):558 View
  15. Jung J, Yoo S. Identification of Breast Cancer Metastasis Markers from Gene Expression Profiles Using Machine Learning Approaches. Genes 2023;14(9):1820 View
  16. Zarate Rodriguez J, Cos H, Srivastava R, Bewley A, Raper L, Li D, Dai R, Williams G, Fields R, Hawkins W, Lu C, Sanford D, Hammill C. Preoperative levels of physical activity can be increased in pancreatectomy patients via a remotely monitored, telephone-based intervention: A randomized trial. Surgery in Practice and Science 2023;15:100212 View
  17. Abu-Khudir R, Hafsa N, Badr B. Identifying Effective Biomarkers for Accurate Pancreatic Cancer Prognosis Using Statistical Machine Learning. Diagnostics 2023;13(19):3091 View
  18. Taha A, Taha-Mehlitz S, Ortlieb N, Ochs V, Honaker M, Rosenberg R, Lock J, Bolli M, Cattin P. Machine learning in pancreas surgery, what is new? literature review. Frontiers in Surgery 2023;10 View
  19. Kambakamba P. Invited commentary: Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy. Surgery 2023;174(3):441 View
  20. Syversen A, Dosis A, Jayne D, Zhang Z. Wearable Sensors as a Preoperative Assessment Tool: A Review. Sensors 2024;24(2):482 View
  21. Greenberg J, Frumkin M, Xu Z, Zhang J, Javeed S, Zhang J, Benedict B, Botterbush K, Yakdan S, Molina C, Pennicooke B, Hafez D, Ogunlade J, Pallotta N, Gupta M, Buchowski J, Neuman B, Steinmetz M, Ghogawala Z, Kelly M, Goodin B, Piccirillo J, Rodebaugh T, Lu C, Ray W. Preoperative Mobile Health Data Improve Predictions of Recovery From Lumbar Spine Surgery. Neurosurgery 2024 View
  22. Xu Z, Zhang J, Greenberg J, Frumkin M, Javeed S, Zhang J, Benedict B, Botterbush K, Rodebaugh T, Ray W, Lu C. Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(2):1 View
  23. Anderson E, Lennon M, Kavanagh K, Weir N, Kernaghan D, Roper M, Dunlop E, Lapp L. Predictive Data Analytics in Telecare and Telehealth: A Systematic Scoping Review (Preprint). Online Journal of Public Health Informatics 2024 View
  24. Duwe G, Mercier D, Wiesmann C, Kauth V, Moench K, Junker M, Neumann C, Haferkamp A, Dengel A, Höfner T. Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology. Cancer Medicine 2024;13(12) View