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

Development and Evaluation of Research Methods, Instruments and Tools (173) Machine Learning (960) Digital Pain Assessment and Management (101) Electronic Health Records (752)

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 Padhee 1 Author Orcid Image ;   Gary K Nave Jr 2 Author Orcid Image ;   Tanvi Banerjee 1 Author Orcid Image ;   Daniel M Abrams 2 Author Orcid Image ;   Nirmish Shah 3 Author Orcid Image
Article Authors Cited by Tweetations (9) 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 , US

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

3 Division of Hematology, Duke University School of Medicine , Durham , NC , US

Corresponding Author:

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