Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi

Tuberculosis disease has become an infectious disease and one of the leading causes of mortality and morbidity in the world. The conventional diagnosis and method used to detect the Mycobacterium Tuberculosis is time consuming, invasive, tiring, labor intensive and requires the microbiologist expert...

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Main Author:	Raja Mohd Radzi, Raja Umi Kalsom
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Neuroscience Biological psychiatry Neuropsychiatry Tuberculosis
Online Access:	https://ir.uitm.edu.my/id/eprint/39270/1/39270.pdf
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id	my-uitm-ir.39270
record_format	uketd_dc
spelling	my-uitm-ir.392702021-08-30T02:25:16Z Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi 2017-02 Raja Mohd Radzi, Raja Umi Kalsom Neuroscience. Biological psychiatry. Neuropsychiatry Tuberculosis Tuberculosis disease has become an infectious disease and one of the leading causes of mortality and morbidity in the world. The conventional diagnosis and method used to detect the Mycobacterium Tuberculosis is time consuming, invasive, tiring, labor intensive and requires the microbiologist expertise to confirm the accuracy of the results. There is no electrical instrument to detect Tuberculosis automatically, no electronic circuit model for evaluating the instrument and no research has been carried out to model the sensitive type of Mycobacterium Tuberculosis. This project concerns with the development of an electronic circuit that models the sensitive type of Mycobacterium Tuberculosis. The aims of the research are to design and simulate circuit models that demonstrate the sensitive type of Mycobacterium Tuberculosis and to evaluate the performance of the model. In the model development, the collection rate of Mycobacterium Tuberculosis obtained from the previous studies was first converted to gain. Regression Model Analysis was carried out, followed by the design of the passive low pass filter, RC, LC and RLC circuits, circuits simulation and fabrication process. The best model of the sensitive type of Mycobacterium Tuberculosis is the second order of LC simulation circuit since it provides less than 10% discrepancy. From the simulation results, it was found that the logarithmic regression model is the best equation that demonstrates the sensitive type of Mycobacterium Tuberculosis. 2017-02 Thesis https://ir.uitm.edu.my/id/eprint/39270/ https://ir.uitm.edu.my/id/eprint/39270/1/39270.pdf text en public masters Universiti Teknologi MARA Faculty of Electrical Engineering Mansor, Wahidah (Prof. Madya Datin Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mansor, Wahidah (Prof. Madya Datin Dr.)
topic	Neuroscience Biological psychiatry Neuropsychiatry Tuberculosis
spellingShingle	Neuroscience Biological psychiatry Neuropsychiatry Tuberculosis Raja Mohd Radzi, Raja Umi Kalsom Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi
description	Tuberculosis disease has become an infectious disease and one of the leading causes of mortality and morbidity in the world. The conventional diagnosis and method used to detect the Mycobacterium Tuberculosis is time consuming, invasive, tiring, labor intensive and requires the microbiologist expertise to confirm the accuracy of the results. There is no electrical instrument to detect Tuberculosis automatically, no electronic circuit model for evaluating the instrument and no research has been carried out to model the sensitive type of Mycobacterium Tuberculosis. This project concerns with the development of an electronic circuit that models the sensitive type of Mycobacterium Tuberculosis. The aims of the research are to design and simulate circuit models that demonstrate the sensitive type of Mycobacterium Tuberculosis and to evaluate the performance of the model. In the model development, the collection rate of Mycobacterium Tuberculosis obtained from the previous studies was first converted to gain. Regression Model Analysis was carried out, followed by the design of the passive low pass filter, RC, LC and RLC circuits, circuits simulation and fabrication process. The best model of the sensitive type of Mycobacterium Tuberculosis is the second order of LC simulation circuit since it provides less than 10% discrepancy. From the simulation results, it was found that the logarithmic regression model is the best equation that demonstrates the sensitive type of Mycobacterium Tuberculosis.
format	Thesis
qualification_level	Master's degree
author	Raja Mohd Radzi, Raja Umi Kalsom
author_facet	Raja Mohd Radzi, Raja Umi Kalsom
author_sort	Raja Mohd Radzi, Raja Umi Kalsom
title	Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi
title_short	Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi
title_full	Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi
title_fullStr	Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi
title_full_unstemmed	Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi
title_sort	modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / raja umi kalsom raja mohd radzi
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Electrical Engineering
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/39270/1/39270.pdf
_version_	1783734499470737408

Modelling of a sensitive type of mycobacterium tuberculosis using regression model analysis for non-invasive technique detection / Raja Umi Kalsom Raja Mohd Radzi

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