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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Moon-Jong Kim, Pil-Jong Kim, Hong-Gee Kim, Hong-Seop Kho
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/6e44f0097a6f409cab7ce84b00053808
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!