Published on in Vol 6, No 1 (2017): January
![Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol](https://asset.jmir.pub/assets/f38ff5e64f9f49451ebed60538ff2944.png 480w,https://asset.jmir.pub/assets/f38ff5e64f9f49451ebed60538ff2944.png 960w,https://asset.jmir.pub/assets/f38ff5e64f9f49451ebed60538ff2944.png 1920w,https://asset.jmir.pub/assets/f38ff5e64f9f49451ebed60538ff2944.png 2500w)
Journals
- Gould L, Bohn G, Bryant R, Paine T, Couch K, Cowan L, McFarland F, Simman R. Pressure ulcer summit 2018: An interdisciplinary approach to improve our understanding of the risk of pressure‐induced tissue damage. Wound Repair and Regeneration 2019;27(5):497 View
- Bogie K, Roggenkamp S, Zeng N, Seton J, Schwartz K, Henzel M, Richmond M, Sun J, Zhang G. Development of Predictive Informatics Tool Using Electronic Health Records to Inform Personalized Evidence-Based Pressure Injury Management for Veterans with Spinal Cord Injury. Military Medicine 2021;186(Supplement_1):651 View
- Bazoge A, Morin E, Daille B, Gourraud P. Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review. JMIR Medical Informatics 2023;11:e42477 View
- Luther S, Thomason S, Sabharwal S, Finch D, McCart J, Toyinbo P, Bouayad L, Lapcevic W, Hahm B, Hauser R, Matheny M, Powell-Cope G. Machine learning to develop a predictive model of pressure injury in persons with spinal cord injury. Spinal Cord 2023;61(9):513 View