ALZHEIMERS DISEASE STAGES ARE CLASSIFIED BASED ON BIOMARKERS FOUND IN CEREBROSPINAL FLUID - by Machine Learning Classifiers - Thesis Master of Science

Aug 4, 2026

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Master of Science thesis evaluating how Alzheimer’s disease stages can be classified using cerebrospinal fluid biomarkers with machine learning classifiers. The work includes a structured introduction and organization, a literature survey covering research significance and prior findings, and detailed data description and statistical analysis. It presents the design and use of machine learning classifiers, including approaches for Alzheimer’s classification in two dimensions and multi-class classification across disease stages. Results and discussion synthesize performance comparisons and interpretation, followed by references, tables, figures, and an appendix supporting the study.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages38

Reading Time1 h 36 min

AccessFree to download

Abstract

Chapter One INTRODUCTION

1.1 Organization of Thesis

Chapter Two LITERATURE SURVEY

2.1 Significance Contribution of the research

Chapter Three DATA DESCRIPTION

Chapter Four STATISTICAL ANALYSIS

Chapter Five MACHINE LEARNING CLASSIFIER

Chapter Six ALZHEIMER DISEASE CLASSIFICATION IN TWO DIMENSIONS

Chapter Seven MULTI-CLASSIFICATION OF ALZHEIMER DISEASE STAGES

Chapter Eight RESULT AND DISCUSSION

Appendix

References

University of Texas at Tyler Scholar Works at UT Tyler | Electrical Engineering Theses | Electrical Engineering | | --- | --- | | Spring 4-25-2023
ALZHEIMERS DISEASE STAGES ARE CLASSIFIED BASED ON BIOMARKERS FOUND IN CEREBROSPINAL FLUID USING MACHINE LEARNING CLASSIFIERS
Vivek K. Tiwari
University of Texas at Tyler
Follow this and additional works at: [https://scholarworks.uttyler.edu/ee_grad](https://scholarworks.uttyler.edu/ee_grad)
Part of the Electrical and Computer Engineering Commons | | Recommended Citation Tiwari, Vivek K., "ALZHEIMERS DISEASE STAGES ARE CLASSIFIED BASED ON BIOMARKERS FOUND IN CEREBROSPINAL FLUID USING MACHINE LEARNING CLASSIFIERS" (2023) . Electrical Engineering Theses. Paper 55. [http://hdl.handle.net/10950/4185](http://hdl.handle.net/10950/4185) This Thesis is brought to you for free and open access by the Electrical Engineering at Scholar Works at UT Tyler. It has been accepted for inclusion in Electrical Engineering Theses by an authorized administrator of Scholar Works at UT Tyler. For more information, please contact [tgullings@uttyler.edu](tgullings@uttyler.edu). ALZHEIMERS DISEASE STAGES ARE CLASSIFIED BASED ON BIOMARKERS FOUND IN CEREBROSPINAL FLUID USING MACHINE LEARNING CLASSIFIERS by VIVEK KUMAR TIWARI A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering Department of Electrical Engineering Shawana Tabassum, Ph.D., Committee Chair College of Engineering The University of Texas at Tyler April 2023 The University of Texas at Tyler Tyler, Texas This is to certify that the Master’s Thesis of VIVEK KUMAR TIWARI has been approved for the thesis/dissertation requirement on (April 2023) for the Master of Science in Electrical Engineering Approvals: Thesis/Dissertation Chair: Dr. Shawana Tabassum, Ph.D. | Member: Dr. Premananda Indic, Ph.D.
| | --- | | Member: Dr. Regan Beckham, Ph.D.
| Chair, Department of Electrical Engineering Dean, College of Engineering © Copyright 2023 by VIVEK KUMAR TIWARI All rights reserved. ACKNOWLEDGEMENT Dr. Shawana Tabassum, who reviewed my thesis, has my sincere gratitude and appreciation for her constant guidance and support. She was really understanding with me and offered me support, guidance, and encouragement, all of which helped me accomplish this thesis. I want to thank Dr. Premananda Indic and Dr. Regan Beckham from my thesis committee for their advice and support. I feel very fortunate to have Dr. Indic as a graduate coordinator because he was a huge help to me during my master's program. I appreciate Dr. Hassan El-Kishky for giving me a departmental scholarship to support my graduate studies. I owe a debt of gratitude to each and every member of the Electrical Engineering Department for helping me to complete this endeavor. Also, I want to thank and recognize my friend MD Milon Uddin, who supported and encouraged me during my master's program. My other friends Sam Wilson, Arsalan Khan, and Joshua Stapp deserve my gratitude for their assistance during this adventure. Finally, I'm incredibly grateful for the support my father, mother, and other family members, especially my uncle, and aunty, have given me as I pursue my master's degree in the United States. I would especially like to thank my younger brother Abhishek Tiwari for his outstanding support of my higher education. Thank you everyone for being a part of my life and making this possible. TABLE OF CONTENTS LIST OF TABLES ....................................................................................................................................... 7 LIST OF FIGURES...................................................................................................................................... 8 Abstract ............................................................................................................................

FAQs

What data source and biomarkers are used for classifying Alzheimer’s disease stages?

The thesis uses biomarkers found in cerebrospinal fluid as the basis for disease stage classification.

How does the thesis approach machine learning for Alzheimer’s classification?

It develops and applies machine learning classifiers, including methods for classification in two dimensions and multi-class classification across disease stages.

Which major steps are included before presenting results?

The thesis includes an introduction, literature survey, data description, statistical analysis, and dedicated sections describing the machine learning classifier workflow.

Aug 4, 2026

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