Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13785, first published .
Prediction Model for Hospital-Acquired Pressure Ulcer Development: Retrospective Cohort Study

Prediction Model for Hospital-Acquired Pressure Ulcer Development: Retrospective Cohort Study

Prediction Model for Hospital-Acquired Pressure Ulcer Development: Retrospective Cohort Study

Journals

  1. Choi B, Kim M, Kim S. Risk prediction models for the development of oral-mucosal pressure injuries in intubated patients in intensive care units: A prospective observational study. Journal of Tissue Viability 2020;29(4):252 View
  2. Hyun S, Kaewprag P, Cooper C, Hixon B, Moffatt-Bruce S. Exploration of critical care data by using unsupervised machine learning. Computer Methods and Programs in Biomedicine 2020;194:105507 View
  3. Tarekegn A, Ricceri F, Costa G, Ferracin E, Giacobini M. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches. JMIR Medical Informatics 2020;8(6):e16678 View
  4. Orciuoli F, Orciuoli F, Peduto A. A Mobile Clinical DSS based on Augmented Reality and Deep Learning for the home cares of patients afflicted by bedsores. Procedia Computer Science 2020;175:181 View
  5. Cox J. Risk Factors for Pressure Injury Development Among Critical Care Patients. Critical Care Nursing Clinics of North America 2020;32(4):473 View
  6. Cox J, Schallom M. Pressure Injuries in Critical Care Patients: A Conceptual Schema. Advances in Skin & Wound Care 2021;34(3):124 View