Application of the Mahalanobis-Taguchi System in Renal Profile of the Methadone Flexi Dispensing Program

Siti Khadijah, Mat Saad and Sri Nur Areena, Mohd Zaini and Mohd Yazid, Abu (2022) Application of the Mahalanobis-Taguchi System in Renal Profile of the Methadone Flexi Dispensing Program. Jurnal Teknik Industri, 24 (1). pp. 1-12. ISSN 2622-5131 (Online). (In Press / Online First) (In Press / Online First)

Application of the Mahalanobis-Taguchi System.pdf
Available under License Creative Commons Attribution.

Download (759kB) | Preview


Patients under the methadone Flexi dispensing (MFlex) program are required to do blood tests like renal profile. To ensure the patient has a kidney failure, a doctor assesses one parameter like creatinine. Unfortunately, the existing system does not have a stable ecosystem towards classification and optimization due to inaccurate measurement methods and lack of justification of significant parameters, which will influence the accuracy of diagnosis. The objective is to apply the Mahalanobis-Taguchi system (MTS) in the MFlex program. The data is collected at Bandar Pekan clinic with 34 parameters. Two types of MTS methods are used, such as RT-Method and T-Method, for classification and optimization. As a result, the RT-Method can classify healthy and unhealthy samples, while the T-Method can evaluate the significant parameters in terms of the degree of contribution. Fifteen unknown samples have been diagnosed with different positive and negative degrees of contribution to achieving lower MD. The best-proposed solution is type 5 of 6 modifications because it shows the highest MD value than others. In conclusion, a pharmacist from Bandar Pekan clinic confirmed that MTS could solve a problem in the classification and optimization of the MFlex program.

Item Type: Article
Uncontrolled Keywords: Mahalanobis-Taguchi system, Mahalanobis distance, renal profile, classification, optimization, methadone flexi dispensing program
Subjects: R Medicine > RA Public aspects of medicine
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Dr. Mohd Yazid Abu
Date Deposited: 23 Mar 2022 08:14
Last Modified: 23 Mar 2022 08:14
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item