Data Analytics in Dentistry Using R Programming Software
Journal Title: Journal of Clinical and Medical Research - Year 2021, Vol 3, Issue 1
Abstract
Dental practices collect numerous amounts of clinical and non-clinical data from their patients. Whether that data has been utilized to its full potential is highly questionable. This study used the R programming language on a five-year simulated dental clinical dataset to statistically analyze various possibilities to improve clinical practice and promote awareness among patients. The data set consists of all possible dental treatments which is offered in routine dental practice. The analysis is based on a single dental practice, unlike yearly statistics published by the health authorities over the entire county or country health data, which cannot address unique requirements and challenges associated with every individual practice and community. Descriptive statistical analysis of the dataset is performed through histograms, scattered plots, and test to normality along with correlation analysis with the plot (Pearson/Spearman depend from p.1) and compared variables with multiple regression analysis, forecasting and finally estimated the accuracy using (MAE, MAPE, R_squared ) and k-fold cv.
Authors and Affiliations
Sriram Thirugnanam1*and Cinthoori CS2
Keywords
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- EP ID EP708416
- DOI https://doi.org/10.37191/Mapsci-2582-4333-3(1)-056
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