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

Postoperative Monitoring and Telemonitoring (120) Clinical Information and Decision Making (1370)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40402, first published .
Prediction of Pelvic Organ Prolapse Postsurgical Outcome Using Biomaterial-Induced Blood Cytokine Levels: Machine Learning Approach

Prediction of Pelvic Organ Prolapse Postsurgical Outcome Using Biomaterial-Induced Blood Cytokine Levels: Machine Learning Approach

Prediction of Pelvic Organ Prolapse Postsurgical Outcome Using Biomaterial-Induced Blood Cytokine Levels: Machine Learning Approach

Authors of this article:

Mihyun Lim Waugh1 Author Orcid Image ;   Nicholas Boltin1 Author Orcid Image ;   Lauren Wolf1 Author Orcid Image ;   Jane Goodwin2 Author Orcid Image ;   Patti Parker3 Author Orcid Image ;   Ronnie Horner4 Author Orcid Image ;   Matthew Hermes5 Author Orcid Image ;   Thomas Wheeler6 Author Orcid Image ;   Richard Goodwin2 Author Orcid Image ;   Melissa Moss1, 7 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Mihyun Lim Waugh   1 , BS ;   Nicholas Boltin   1 , PhD ;   Lauren Wolf   1 , PhD ;   Jane Goodwin   2 , BS ;   Patti Parker   3 , BSN ;   Ronnie Horner   4 , PhD ;   Matthew Hermes   5 , PhD ;   Thomas Wheeler   6 , MD ;   Richard Goodwin   2 , PhD ;   Melissa Moss   1, 7 , PhD

1 Biomedical Engineering Program, University of South Carolina, Columbia, SC, United States

2 Biomedical Sciences, University of South Carolina School of Medicine - Greenville, Greenville, SC, United States

3 Prisma Health Greenville, Greenville, SC, United States

4 Department of Health Services Research and Administration, University of Nebraska Medical Center, Omaha, NE, United States

5 Department of Bioengineering, Clemson University, Clemson, SC, United States

6 Spartanburg Regional Healthcare System, Spartanburg, SC, United States

7 Department of Chemical Engineering, University of South Carolina, Columbia, SC, United States

Corresponding Author:

  • Melissa Moss, PhD
  • Department of Chemical Engineering, University of South Carolina
  • 301 Main St.
  • Rm 2C02
  • Columbia, SC, 29208
  • United States
  • Phone: 1 803-777-5604
  • Email: mossme@cec.sc.edu