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

Innovations and Technology in Cancer Care (402) Mobile Health (mhealth) (2771) Wearable Devices and Sensors (822) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1313) mHealth for Data Collection and Research (915) Fitness Trackers and Smart Pedometers/Accelerometers (542) Mobile Apps for Cancer Care and Cancer Prevention and Screening (197) Machine Learning (1388) Postoperative Monitoring and Telemonitoring (109) Postoperative Pain Management (26) Digital Biomarkers and Digital Phenotyping (178)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27975, first published .
Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study

Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study

Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study

Authors of this article:

Carissa A Low1 Author Orcid Image ;   Meng Li1 Author Orcid Image ;   Julio Vega1 Author Orcid Image ;   Krina C Durica1 Author Orcid Image ;   Denzil Ferreira2 Author Orcid Image ;   Vernissia Tam3 Author Orcid Image ;   Melissa Hogg4 Author Orcid Image ;   Herbert Zeh III5 Author Orcid Image ;   Afsaneh Doryab6 Author Orcid Image ;   Anind K Dey7 Author Orcid Image
Article Authors Cited by (15) Tweetations (16) Metrics

Journals

  1. 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
  2. Wells C, Xu W, Penfold J, Keane C, Gharibans A, Bissett I, O’Grady G. Wearable devices to monitor recovery after abdominal surgery: scoping review. BJS Open 2022;6(2) View
  3. Gibb M, Winter H, Komarzynski S, Wreglesworth N, Innominato P. Holistic Needs Assessment of Cancer Survivors—Supporting the Process Through Digital Monitoring of Circadian Physiology. Integrative Cancer Therapies 2022;21:153473542211235 View
  4. Vega J, Li M, Aguillera K, Goel N, Joshi E, Khandekar K, Durica K, Kunta A, Low C. Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. Frontiers in Digital Health 2021;3 View
  5. 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
  6. Opoku Asare K, Moshe I, Terhorst Y, Vega J, Hosio S, Baumeister H, Pulkki-Råback L, Ferreira D. Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis. Pervasive and Mobile Computing 2022;83:101621 View
  7. Finet M, Bellicha A, Sage E, Glorion M, Kennel T, Labro M, Trillat B, Fischler M, Vallée A, Le Guen M, Fessler J. Comprehensive assessment of postoperative mobility during the first days after mini-invasive lung surgery: A prospective observational study. Journal of Clinical Anesthesia 2023;86:111048 View
  8. van der Storm S, Bektaş M, Barsom E, Schijven M. Mobile applications in gastrointestinal surgery: a systematic review. Surgical Endoscopy 2023;37(6):4224 View
  9. Almeida A, Lima L, Martins T. Monitoring Patient-Reported Outcomes in Self-management of Postsurgical Symptoms in Oncology. Cancer Nursing 2024 View
  10. Aulenkamp J, Mosch L, Meyer-Frießem C, Malewicz-Oeck N. Einsatzmöglichkeiten digitaler Tools in der postoperativen Schmerztherapie. Der Schmerz 2023;37(4):234 View
  11. Wall N, Fuller R, Morcos A, De Leon M. Pancreatic Cancer Health Disparity: Pharmacologic Anthropology. Cancers 2023;15(20):5070 View
  12. Kotha R, Streitmatter C, Serdiuk A, Aldawoodi N, Ackerman R. Cardiac Remote Monitoring Devices and Technologies: A Review for the Perioperative Physician and Telemedicine Providers. Cureus 2024 View
  13. Cloß K, Verket M, Müller-Wieland D, Marx N, Schuett K, Jost E, Crysandt M, Beier F, Brümmendorf T, Kobbe G, Brandts J, Jacobsen M. Application of wearables for remote monitoring of oncology patients: A scoping review. DIGITAL HEALTH 2024;10 View
  14. Zeinali N, Youn N, Albashayreh A, Fan W, Gilbertson White S. Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review. JMIR Cancer 2024;10:e52322 View
  15. 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