Award Date
8-1-2024
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Mathematical Sciences
First Committee Member
Dieudonne Phanord
Second Committee Member
Ashok Singh
Third Committee Member
Rohan Dalpatadu
Fourth Committee Member
Rachidi Salako
Fifth Committee Member
Laxmi Gewali
Number of Pages
211
Abstract
Machine Learning (ML) is a subset of artificial intelligence that has made substantial strides in predicting and identifying health emergencies, disease populations, and disease state and immune response, amongst a few fields of healthcare. Here we provide a brief overview of machine learning-based approaches and learning algorithms. Second, we discuss a general procedure of ML and review some studies presented in ML application for several healthcare fields. We also briefly discuss the risks and challenges of ML application to healthcare.This dissertation also consists of four different cases in healthcare where we have applied ML techniques on real life data sets. In the first case study, Random Forest (RF) method has been used with high accuracy for classifying a rare skin disease Erythemato-squamous Dermatosis. In the second case study, Logistic regression analysis was utilized in finding the risk factors associated with Alcoholic hepatitis (AH). A sub-analysis was performed to determine variables associated with mortality in AH patients. In the third case study, Linear Discriminant Analysis (LDA) & RF were utilized for classifying five types of cancer (breast cancer, kidney cancer, colon cancer, lung cancer and prostate cancer) based on high dimensional microarray gene expression data. Principal component analysis (PCA) was used for dimensionality reduction, and principal component scores of the raw data for classification. In the fourth case study, we aim to discover the potential factors behind the initiation and then possibly sustain the desire to quit smoking using the LDA & RF method.
Controlled Subject
Machine learning; Medicine, Preventive
Disciplines
Statistics and Probability
File Format
File Size
4000KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Mukhopadhyay, Dwaipayan, "Application of Machine Learning Algorithms in Healthcare" (2024). UNLV Theses, Dissertations, Professional Papers, and Capstones. 5139.
https://digitalscholarship.unlv.edu/thesesdissertations/5139
Rights
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