An Accurate Clinical Implication Assessment for Diabetes Mellitus Prevalence Based on a Study from Nigeria

An Accurate Clinical Implication Assessment for Diabetes Mellitus Prevalence Based on a Study from Nigeria

The increasing rate of diabetes is found across the planet. Therefore, the diagnosis of pre-diabetes and diabetes is important in populations with extreme diabetes risk. In this study, a machine learning technique was implemented over a data mining platform by employing Rule classifiers (PART and De...

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Bibliographic Details
Main Authors: Muhammad Noman Sohail, Ren Jiadong, Musa Uba Muhammad, Sohaib Tahir Chauhdary, Jehangir Arshad, Antony John Verghese
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Processes
Subjects:
data mining
cluster
clinical implications
diabetes
epidemiology
forecast
PART
Decision table
Weka
real-life patients
regression
machine learning
Online Access:https://www.mdpi.com/2227-9717/7/5/289

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https://www.mdpi.com/2227-9717/7/5/289

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