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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| Language: | en |
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Penerbit UMP
2023
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| 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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| 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. |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.40497 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2023 |
| publisher | Penerbit UMP |
| record_format | eprints |
| 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 |
| 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 |
| title | 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_short | Methadone Flexi Dispensing (MFlex) Intelligence System utilizing the Mahalanobis-Taguchi System |
| title_sort | methadone flexi dispensing (mflex) intelligence system utilizing the mahalanobis-taguchi system |
| topic | T Technology (General) TS Manufactures |
| 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 |
| url_provider | http://umpir.ump.edu.my/ |