Thesis

The Comparison Between Logistic Regression and Convolutional Neural Network for Multi-Drug Resistant Tuberculosis Prediction

---

"Multi-drug resistant tuberculosis (MDR-TB) is a disease caused by the Mycobacterium
tuberculosis that could evade at least two different first-line anti tuberculosis drugs. MDR-TB poses a
significant global health challenge, particularly in middle to lower income countries where affordable
and rapid diagnostic tools are crucially needed. This situation has brought the idea of leveraging whole
genome sequencing and machine learning models for drug resistance predictions. Utilization of
Mycobacterium tuberculosis genomic data from databases and data pre-processing allows the model
to be able to train on the data. The Logistic Regression and Convolutional Neural Network model were
trained on the pre-processed genomic data to be able to predict drug resistances. Moreover, both
models were evaluated to each other according to the accuracy, sensitivity, specificity, and
computational complexity to search for the better model. In accuracy, CNN could outperform LR
slightly by outperforming in Rifampicin and Pyrazinamide with a bigger margin than how LR
outperforms in Isoniazid and Ethambutol. In sensitivity LR could outperform CNN slightly by
outperforming in Rifampicin, Isoniazid, and Pyrazinamide, while CNN could only outperform in
Ethambutol. In specificity, CNN could outperform LR slightly by outperforming in Rifampicin and
Pyrazinamide with a bigger margin than how LR outperforms in Isoniazid and Ethambutol. Lastly, the
computational complexity assessment was invalid due to hardware incompatibility. Overall, each
model exhibited its own unique strengths and weaknesses in predicting the first-line anti tuberculosis
drug resistances. "

---

Availability

Detail Information

Series Title

-

Call Number

BM 23-003

Publisher

i3L, Jakarta : i3L, Jakarta., 2023

Collation

-

Language

English

ISBN/ISSN

-

Classification

NONE

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Machine learning
Mycobacterium tuberculosis
Convolutional Neural Network
MDR-TB
Logistic Regression

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment