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Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System

Patients who are participating in the methadone flexi dispensing (MFlex) program are obliged to provide their blood samples for various testing, such as lipid profiles. A doctor evaluates three parameters, including cholesterol, HDL cholesterol, and LDL cholesterol to determine whether or not the pa...

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Main Authors: Pinueh, N.S., Abu, Mohd Yazid, S K M, Saad, N.H, Aris, Sari, E.
Format: Article
Language:English
Published: Penerbit UMP 2023
Subjects:
T Technology (General)
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/40497/1/publication2-PGRS230321.pdf
http://umpir.ump.edu.my/id/eprint/40497/
https://journal.ump.edu.my/jmmst/article/view/10322/3132
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spelling my.ump.umpir.404972024-02-27T00:02:32Z http://umpir.ump.edu.my/id/eprint/40497/ Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System Pinueh, N.S. Abu, Mohd Yazid S K M, Saad N.H, Aris Sari, E. T Technology (General) TS Manufactures Patients who are participating in the methadone flexi dispensing (MFlex) program are obliged to provide their blood samples for various testing, such as lipid profiles. A doctor evaluates three parameters, including cholesterol, HDL cholesterol, and LDL cholesterol to determine whether or not the patient has a lipid issue. Since, the current structure lacks an ideal atmosphere for classification and optimization caused by inaccuracies in measurement methodologies and a lack of explanation for significant aspects that have an effect on the accuracy of diagnostics. The objective is to implement the Mahalanobis Taguchi system (MTS) in the MFlex program. Utilizing a total of 34 parameters, there are two different types of MTS techniques used for classification and optimization: the RT method and T method. The average Mahalanobis distance (MD) for healthy conditions is 1.0000 whereas for unhealthy is 79.5876. As a result, there is 19 parameters indicate a positive degree of contribution. 15 unknown samples were diagnosed with a variety of positive and negative degree of contribution to achieving a lower MD. Type 5 of 6 alterations was chosen as the best suggested possibility. In conclusion, MTS is able to be applied in medical environment. Penerbit UMP 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/40497/1/publication2-PGRS230321.pdf Pinueh, N.S. and Abu, Mohd Yazid and S K M, Saad and N.H, Aris and Sari, E. (2023) Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System. Journal of Modern Manufacturing Systems and Technology (JMMST), 7 (1). pp. 30-41. ISSN 2636-9575. (Published) https://journal.ump.edu.my/jmmst/article/view/10322/3132
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TS Manufactures
spellingShingle T Technology (General)
TS Manufactures
Pinueh, N.S.
Abu, Mohd Yazid
S K M, Saad
N.H, Aris
Sari, E.
Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System
description Patients who are participating in the methadone flexi dispensing (MFlex) program are obliged to provide their blood samples for various testing, such as lipid profiles. A doctor evaluates three parameters, including cholesterol, HDL cholesterol, and LDL cholesterol to determine whether or not the patient has a lipid issue. Since, the current structure lacks an ideal atmosphere for classification and optimization caused by inaccuracies in measurement methodologies and a lack of explanation for significant aspects that have an effect on the accuracy of diagnostics. The objective is to implement the Mahalanobis Taguchi system (MTS) in the MFlex program. Utilizing a total of 34 parameters, there are two different types of MTS techniques used for classification and optimization: the RT method and T method. The average Mahalanobis distance (MD) for healthy conditions is 1.0000 whereas for unhealthy is 79.5876. As a result, there is 19 parameters indicate a positive degree of contribution. 15 unknown samples were diagnosed with a variety of positive and negative degree of contribution to achieving a lower MD. Type 5 of 6 alterations was chosen as the best suggested possibility. In conclusion, MTS is able to be applied in medical environment.
format Article
author Pinueh, N.S.
Abu, Mohd Yazid
S K M, Saad
N.H, Aris
Sari, E.
author_facet Pinueh, N.S.
Abu, Mohd Yazid
S K M, Saad
N.H, Aris
Sari, E.
author_sort Pinueh, N.S.
title Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System
title_short Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System
title_full Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System
title_fullStr Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System
title_full_unstemmed Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System
title_sort methadone flexi dispensing (mflex) intelligence system utilizing the mahalanobis-taguchi system
publisher Penerbit UMP
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40497/1/publication2-PGRS230321.pdf
http://umpir.ump.edu.my/id/eprint/40497/
https://journal.ump.edu.my/jmmst/article/view/10322/3132
_version_ 1822924160724107264
score 13.2353115

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