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Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program

Patient under methadone flexi dispensing (MFlex) program is subjected to do methadone dosage trends like ascending case since no parameters have been used to identify the patient who has potential rate of recovery. Consequently, the existing system does not have a stable ecosystem towards classifica...

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Main Authors: S. K. M., Saad, S. N. A. M., Zaini, M. Y., Abu
Format: Article
Language:English
Published: Penerbit UMP 2021
Subjects:
R Medicine (General)
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/32909/1/publication13-PGRS2003154.pdf
http://umpir.ump.edu.my/id/eprint/32909/
https://doi.org/10.15282/jmmst.v4i1.7034
https://doi.org/10.15282/jmmst.v4i1.7034
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spelling my.ump.umpir.329092022-06-20T02:23:27Z http://umpir.ump.edu.my/id/eprint/32909/ Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program S. K. M., Saad S. N. A. M., Zaini M. Y., Abu R Medicine (General) TS Manufactures Patient under methadone flexi dispensing (MFlex) program is subjected to do methadone dosage trends like ascending case since no parameters have been used to identify the patient who has potential rate of recovery. Consequently, 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 Mahalanobis-Taguchi system (MTS) in the MFlex program as it has never been done in previous studies. The data is collected at Bandar Pekan clinic with 16 parameters. Two types of MTS methods are used like RT-Method and T-Method for classification and optimization respectively. As a result, RT-Method is able to classify the average Mahalanobis distance (MD) of healthy and unhealthy with 1.0000 and 21387.1249 respectively. Moreover, T-Method is able to evaluate the significant parameters with 10 parameters of positive degree of contribution. 6 unknown samples have been diagnosed using MTS with different number of positive and negative degree of contribution to achieve lower MD. Type 2 of 6 modifications has been selected as the best proposed solution as it shows the lowest positive MD value. In conclusion, a pharmacist from Bandar Pekan clinic has confirmed that MTS is able to solve a problem in classification and optimization of MFlex program. Penerbit UMP 2021-12 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/32909/1/publication13-PGRS2003154.pdf S. K. M., Saad and S. N. A. M., Zaini and M. Y., Abu (2021) Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program. Journal of Modern Manufacturing Systems and Technology (JMMST), 4 (1). pp. 117-128. ISSN 2636-9575 https://doi.org/10.15282/jmmst.v4i1.7034 https://doi.org/10.15282/jmmst.v4i1.7034
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic R Medicine (General)
TS Manufactures
spellingShingle R Medicine (General)
TS Manufactures
S. K. M., Saad
S. N. A. M., Zaini
M. Y., Abu
Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program
description Patient under methadone flexi dispensing (MFlex) program is subjected to do methadone dosage trends like ascending case since no parameters have been used to identify the patient who has potential rate of recovery. Consequently, 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 Mahalanobis-Taguchi system (MTS) in the MFlex program as it has never been done in previous studies. The data is collected at Bandar Pekan clinic with 16 parameters. Two types of MTS methods are used like RT-Method and T-Method for classification and optimization respectively. As a result, RT-Method is able to classify the average Mahalanobis distance (MD) of healthy and unhealthy with 1.0000 and 21387.1249 respectively. Moreover, T-Method is able to evaluate the significant parameters with 10 parameters of positive degree of contribution. 6 unknown samples have been diagnosed using MTS with different number of positive and negative degree of contribution to achieve lower MD. Type 2 of 6 modifications has been selected as the best proposed solution as it shows the lowest positive MD value. In conclusion, a pharmacist from Bandar Pekan clinic has confirmed that MTS is able to solve a problem in classification and optimization of MFlex program.
format Article
author S. K. M., Saad
S. N. A. M., Zaini
M. Y., Abu
author_facet S. K. M., Saad
S. N. A. M., Zaini
M. Y., Abu
author_sort S. K. M., Saad
title Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program
title_short Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program
title_full Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program
title_fullStr Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program
title_full_unstemmed Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program
title_sort application of mahalanobis-taguchi system in ascending case of methadone flexi dispensing (mflex) program
publisher Penerbit UMP
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/32909/1/publication13-PGRS2003154.pdf
http://umpir.ump.edu.my/id/eprint/32909/
https://doi.org/10.15282/jmmst.v4i1.7034
https://doi.org/10.15282/jmmst.v4i1.7034
_version_ 1736833890096513024
score 13.211869

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