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Symmetry 2019, 11(1), 57; https://doi.org/10.3390/sym11010057

EWMA Control Chart Using Repetitive Sampling for Monitoring Blood Glucose Levels in Type-II Diabetes Patients

1
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
2
Department of Statistics, The University of Dodoma, Dodoma P.O. Box 259, Tanzania
3
Department of Statistics, University of Veterinary and Animal Sciences, Sub campus Jhang, Lahore 54000 Pakistan
4
Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 26 November 2018 / Revised: 31 December 2018 / Accepted: 1 January 2019 / Published: 7 January 2019
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Abstract

In this paper, we discuss the application of the exponentially weighted moving average (EWMA) control chart for the monitoring blood glucose in type-II diabetes patients. We present tables for the practical use in healthcare. From the simulation results and a real example, the efficiency of the proposed chart in detecting a shift in diabetic level is compared with the existing chart. It is found that the proposed chart provides a strict method to monitor the diabetic levels in diabetes patients. From the simulation results and a real example, it is concluded that the use of the proposed chart in health care issues may reduce the risk of heart disease by monitoring diabetic levels in an effective way. View Full-Text
Keywords: exponentially weighted moving average chart; repetitive sampling; diabetes monitoring; statistical process monitoring exponentially weighted moving average chart; repetitive sampling; diabetes monitoring; statistical process monitoring
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Aslam, M.; Rao, G.S.; Khan, N.; Al-Abbasi, F.A. EWMA Control Chart Using Repetitive Sampling for Monitoring Blood Glucose Levels in Type-II Diabetes Patients. Symmetry 2019, 11, 57.

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