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Prediction of treatment outcome in burning mouth syndrome patients using machine learning based on clinical data
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 2015, tho...
Autores principales: | Kim, Moon-Jong, Kim, Pil-Jong, Kim, Hong-Gee, Kho, Hong-Seop |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319111/ https://www.ncbi.nlm.nih.gov/pubmed/34321575 http://dx.doi.org/10.1038/s41598-021-94940-9 |
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