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

Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models

Journals

  1. 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

Conference Proceedings

  1. Pan J, Lee S, Cheligeer C, Martin E, Riazi K, Quan H, Li N. 2024 IEEE International Conference on Digital Health (ICDH). Enhancing Large Language Models with Human Expertise for Disease Detection in Electronic Health Records View