This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (666) Machine Learning (1829) Digital Pain Assessment and Management (204) Electronic Health Records (1216)

Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36998, first published .
Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study

Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study

Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study

Authors of this article:

Swati Padhee1 Author Orcid Image ;   Gary K Nave Jr2 Author Orcid Image ;   Tanvi Banerjee1 Author Orcid Image ;   Daniel M Abrams2 Author Orcid Image ;   Nirmish Shah3 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Swati Padhee   1 , MTech, MS ;   Gary K Nave Jr   2 , PhD ;   Tanvi Banerjee   1 , PhD ;   Daniel M Abrams   2 , PhD ;   Nirmish Shah   3 , MD

1 Department of Computer Science and Engineering, Wright State University, Dayton, OH, United States

2 Department of Engineering Sciences and Applied Mathematics, Northwestern University, Chicago, IL, United States

3 Division of Hematology, Duke University School of Medicine, Durham, NC, United States

Corresponding Author:

  • Swati Padhee, MTech, MS
  • Department of Computer Science and Engineering, Wright State University
  • 3640 Colonel Glenn Hwy
  • Dayton, OH 45435
  • United States
  • Phone: 1 937 775 1000
  • Email: padhee.2@wright.edu