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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Wolters Kluwer - Medknow
2021
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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 |