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

Biomedical Engineering Viewpoints (11) Digital Pain Assessment and Management (164)

Published on in Vol 7, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35711, first published .
A Bayesian Network Concept for Pain Assessment

A Bayesian Network Concept for Pain Assessment

A Bayesian Network Concept for Pain Assessment

Authors of this article:

Omowunmi Sadik1 Author Orcid Image ;   J David Schaffer2 Author Orcid Image ;   Walker Land3 Author Orcid Image ;   Huize Xue4 Author Orcid Image ;   Idris Yazgan5 Author Orcid Image ;   Korkut Kafesçiler6 Author Orcid Image ;   Mürvet Sungur7 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Omowunmi Sadik   1 * , PhD ;   J David Schaffer   2 * , PhD ;   Walker Land   3 * , BA, MSc ;   Huize Xue   4 * , BSc ;   Idris Yazgan   5 * , PhD ;   Korkut Kafesçiler   6 * , MD ;   Mürvet Sungur   7 , MD

1 Department of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, NJ, United States

2 Institute of Justice and Well-being, College of Community and Public Affairs, State University of New York-Binghamton, Binghamton, NY, United States

3 Department of Bioengineering, State University of New York, Binghamton, NY, United States

4 Department of Physics, New Jersey Institute of Technology, Newark, NJ, United States

5 Department of Biology, Kastamonu University, Kastamonu, Turkey

6 Anesthesiology Clinics, Manisa State Hospital, Yunus Emre-Manisa, Turkey

7 Microbiology Clinics, Manisa Merkez Efendi State Hospital, Yunus Emre Manisa, Turkey

*these authors contributed equally

Corresponding Author:

  • Omowunmi Sadik, PhD
  • Department of Chemistry & Environmental Science
  • New Jersey Institute of Technology
  • 161 Warren Street
  • University Heights
  • Newark, NJ, 07102
  • United States
  • Phone: 1 9735962833
  • Email: SADIK@NJIT.EDU