Factors influencing the response to periodontal therapy in patients with diabetes: post hoc analysis of a randomized clinical trial using machine learning

Factors influencing the response to periodontal therapy in patients with diabetes: post hoc analysis of a randomized clinical trial using machine learning

Abstract Objective To evaluate factors influencing the response to periodontal therapy in patients with periodontitis and type 2 diabetes mellitus (DM) using machine learning (ML) techniques, considering periodontal parameters, metabolic status, and demographic characteristics. Methodology We ap...

Full description

Saved in:
Bibliographic Details
Main Authors: Nidia CASTRO DOS SANTOS, Arthur MANGUSSI, Tiago RIBEIRO, Rafael Nascimento de Brito SILVA, Mauro Pedrine SANTAMARIA, Magda FERES, Thomas VAN DYKE, Ana Carolina LORENA
Format: Article
Language:English
Published: University of São Paulo 2025-07-01
Series:Journal of Applied Oral Science
Subjects:
Artificial intelligence
Clinical trial
Diabetes mellitus
Non-surgical periodontal debridement
Periodontitis
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572025000100436&lng=en&tlng=en
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572025000100436&lng=en&tlng=en

Similar Items