Application of Supervised Learning Classifiers on Gut Microbial data to Predict Parkinson Disease

Dhatrak, Madhuri (2023) Application of Supervised Learning Classifiers on Gut Microbial data to Predict Parkinson Disease. Masters thesis, Dublin, National College of Ireland.

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Abstract

The motor and non-motor symptoms of Parkinson’s disease (PD) affect millions of individuals worldwide, making it a significant public health concern on a global scale. If the illness is discovered and treated when still in the prodromal stage, the severity of the ailment may be lessened. This investigation makes use of machine learning predictive technologies to investigate the compositions of the gut microbiomes and its alterations in Parkinson Diseases Patients. Early intervention during the prodromal stage is made possible by detection of these alterations in the gut compositions which may allow for customized treatment approaches and a fresh perspective on the treatment of this condition. This study compares the microbiome diversity between cohorts with healthy and PD-affected individuals and assesses several supervised learning models for predictive classification in order to investigate the relationship between gut microbiota and Parkinson’s disease (PD). For people who are affected by this disorder, the goal is to provide hope and better outcomes. These supervised predictive analyses have the potential to revolutionize PD treatment and improve patients’ quality of life.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Ul Ain, Qurrat UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > Biomedical engineering Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry > Neurology. Diseases of the Nervous System.
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	22 Nov 2024 10:32
Last Modified:	22 Nov 2024 10:32
URI:	https://norma.ncirl.ie/id/eprint/7181

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