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

Formative Evaluation of Digital Health Interventions (2844) Clinical Information and Decision Making (1677) Artificial Intelligence (1766) mHealth in a Clinical Setting (685) Machine Learning (1759) Obstetrics, Gynecology, and Reproductive Medicine (281)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59631, first published .
Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Authors of this article:

Mihyun Lim Waugh1 Author Orcid Image ;   Tyler Mills2 Author Orcid Image ;   Nicholas Boltin1 Author Orcid Image ;   Lauren Wolf1 Author Orcid Image ;   Patti Parker3 Author Orcid Image ;   Ronnie Horner4 Author Orcid Image ;   Thomas L Wheeler II5 Author Orcid Image ;   Richard L Goodwin1 Author Orcid Image ;   Melissa A Moss1 Author Orcid Image
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