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Prediction of treatment outcome in burning mouth syndrome patients using machine learning based on clinical data.
Kim, Moon-Jong; Kim, Pil-Jong; Kim, Hong-Gee; Kho, Hong-Seop.
Afiliación
  • Kim MJ; Department of Oral Medicine, Gwanak Seoul National University Dental Hospital, Seoul, South Korea.
  • Kim PJ; Biomedical Knowledge Engineering Laboratory, School of Dentistry, Seoul National University, Seoul, South Korea.
  • Kim HG; Biomedical Knowledge Engineering Laboratory, School of Dentistry, Seoul National University, Seoul, South Korea.
  • Kho HS; Department of Oral Medicine and Oral Diagnosis, School of Dentistry and Dental Research Institute, Seoul National University, 101, Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. hkho@snu.ac.kr.
Sci Rep ; 11(1): 15396, 2021 07 28.
Article en En | MEDLINE | ID: mdl-34321575
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pronóstico / Síndrome de Boca Ardiente / Clonazepam / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Corea del Sur
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pronóstico / Síndrome de Boca Ardiente / Clonazepam / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Corea del Sur