Prediction of treatment outcome in burning mouth syndrome patients using machine learning based on clinical data

Abstract The purpose of this study is to apply a machine learning approach to predict whether patients with burning mouth syndrome (BMS) respond to the initial approach and clonazepam therapy based on clinical data. Among the patients with the primary type of BMS who visited the clinic from 2006 to...

Full description

Bibliographic Details
Main Authors: Moon-Jong Kim, Pil-Jong Kim, Hong-Gee Kim, Hong-Seop Kho
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-94940-9