Gadde Srinivasa Rao, Muhammad Aslam and Nasrullah Khan
The University of Dodoma, Tanzania
King Abdul Aziz University, Saudi Arabia
UVAS Sub Campus Jhang, Pakistan
Scientific Tracks Abstracts: J Comput Sci Syst Biol
The diabetes monitoring is very important to maintain the diabetic levels in control. The Shewhart control chart has been widely used in the healthcare department for the monitoring of sugar levels. In this paper, we will present a more efficient way to monitor diabetic level in diabetes patients. The structure of control is presented using repetitive sampling. 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 way to monitor the diabetic levels in diabetes patients. So, the application of the proposed chart is shown using simulation study and real data collected from diabetes patient. It can be concluded that the use of the proposed chart in health care issue may reduce the risk of heart disease by monitoring diabetic levels in an effective way.
Gadde Srinivasa Rao received his MSc in Statistics (1988), MPhil.in Statistics (1994) and PhD in Statistics (2002) from the Acharya Nagarjuna University, Guntur, India. He is presently working as Professor of Statistics at the Department of Statistics, The University of Dodoma, Tanzania. He boasts more than 90 publications in different peer-reviewed journals in national and international well reputed journals including for example, Journal of Applied Statistics, International Journal of Advanced Manufacturer Technology, Communications in Statistics-Theory and methods, Communications in Statistics-Simulation and Computation, Journal of Testing and Evaluation, Arabian Journal for Science and Engineering, International Journal of Quality & Reliability Management, Economic Quality Control and Journal of Statistical Computation and Simulation. He is the reviewer for various reputed international journals. His research interests include statistical inference, statistical process control, applied Statistics, acceptance sampling plans and reliability estimation.
E-mail: gaddesrao@gmail.com
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