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

Telehealth and Telemonitoring (1671) Machine Learning (1465) Wearable Devices and Sensors (888) Clinical Information and Decision Making (1407) Innovations and Technology in Cancer Care (423)

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

Authors of this article:

Heidy Cos1 Author Orcid Image ;   Dingwen Li1 Author Orcid Image ;   Gregory Williams1 Author Orcid Image ;   Jeffrey Chininis1, 2 Author Orcid Image ;   Ruixuan Dai1 Author Orcid Image ;   Jingwen Zhang1 Author Orcid Image ;   Rohit Srivastava1 Author Orcid Image ;   Lacey Raper1 Author Orcid Image ;   Dominic Sanford1, 2 Author Orcid Image ;   William Hawkins1, 2 Author Orcid Image ;   Chenyang Lu1 Author Orcid Image ;   Chet W Hammill1, 2 Author Orcid Image
Article Authors Cited by (30) Tweetations (15) Metrics

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: Systematic Scoping Review. Online Journal of Public Health Informatics 2024;16:e57618 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
  25. Song L, Li B, Wu H, Wu C, Zhang X, Yu Z. Understanding the factors of wearable devices among the patients with thyroid cancer: A modified UTAUT2 model. PLOS ONE 2024;19(7):e0305944 View
  26. Zhang J, Li D, Dai R, Cos H, Williams G, Raper L, Hammill C, Lu C. Predicting Surgical Outcomes Using Wearables. GetMobile: Mobile Computing and Communications 2024;28(2):17 View
  27. 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
  28. Gehl C, Verhagen N, Shaik T, Nimmer K, Yang X, Xing Y, Taylor B, Nataliansyah M, Kerns S, Kothari A. Association of Daily Step Count and Postoperative Complication among All of Us Research Participants. Journal of the American College of Surgeons 2024;239(6):539 View

Books/Policy Documents

  1. Duwe G, Mercier D, Wiesmann C, Junker M, Haferkamp A, Dengel A, Höfner T. Technologien und Technologiemanagement im Gesundheitswesen. View