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Unsupervised Machine Learning Identified Distinct Population Clusters Based on Symptoms of Oral Pain, Psychological Distress, and Sleep Problems

OBJECTIVES: The aims of this study were to explore the use of unsupervised machine learning in clustering the population based on reports of oral pain, psychological distress, and sleep problems and to compare demographic and socio-economic characteristics as well as levels of functional domains (wo...

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Detalles Bibliográficos
Autor principal: Chuinsiri, Nontawat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533034/
https://www.ncbi.nlm.nih.gov/pubmed/34760797
http://dx.doi.org/10.4103/jispcd.JISPCD_131_21