Published on in Vol 2 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/41264, first published
.
![Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models](https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 480w,https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 960w,https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 1920w,https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 2500w)
Journals
- Pan J, Zhang Z, Peters S, Vatanpour S, Walker R, Lee S, Martin E, Quan H. Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing. Brain Informatics 2023;10(1) View