1 document found, page 1 of 1
Sort by
Issue Date
Leveraging machine learning techniques to investigate the pathogenesis of incid...
Elnaggar, J.; Jacobs, C.; Ardizzone, C.; Aaron, K.; Eastlund, I.; Graves, K.; Luo, M.; Tamhane, A.; Long, D.; Laniewski, P.; Herbst-Kralovetz, M.Objective We investigated longitudinal changes in the vaginal microbiota prior to, during, and immediately following the onset of incident bacterial vaginosis (iBV) to investigate its pathogenesis. We used supervised machine learning and artificial neural networks (ANNs) to identify vaginal micro-organisms predictive of future iBV development. Study Design In this prospective cohort study, we performed 16S rRNA...
Date: 2024
|
Origin: RepositóriUM - Universidade do Minho