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

Elvira Nurmambetova   1 * , BHSc ;   Jie Pan   1, 2 * , PhD ;   Zilong Zhang   1 * , MSc ;   Guosong Wu   1, 2 , PhD ;   Seungwon Lee   1, 2, 3 , MPH, PhD ;   Danielle A Southern   1, 2 , MSc ;   Elliot A Martin   1, 3 , PhD ;   Chester Ho   4 , MD ;   Yuan Xu   1, 2, 5, 6 , MD, PhD ;   Cathy A Eastwood   1, 2 , RN, PhD

1 Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

2 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

3 Alberta Health Services, Edmonton, AB, Canada

4 Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada

5 Department of Oncology, University of Calgary, Tom Baker Cancer Centre, Calgary, AB, Canada

6 Department of Surgery, Foothills Medical Centre, University of Calgary, Calgary, AB, Canada

*these authors contributed equally

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