Publication Date

2021

Degree Type

Master's Project

Degree Name

Master of Science in Bioinformatics (MSBI)

Department

Computer Science

First Advisor

Philip Heller

Keywords

Meta-Analysis, Alzheimer's disease, Alzheimer's treatments.

Abstract

The purpose of this research is to present a way to compare interventions by collecting all available drug clinical trials for a disease of interest. The assessment is done using Meta-Analysis, a method for evaluating data from several studies to arrive at a combined estimate of treatment effect. The evaluation is done in R on a given set of studies to answer the question – which Alzheimer's Disease intervention (pharmaceutical vs. natural) show better outcomes and fewer adverse effects. The research covers many types of interventions across diverse patient populations. On a small subset of papers, natural treatments showed better overall improvements. The evaluation conducted is not medical research, and it lays no claims for determination which intervention is better, but the approach presented can be utilized in medical research provided a more representative dataset is used. The simple and portable way to do Meta-Analysis is presented. As it is not specific to the domain of disease interventions, it could be applied to other domains with minimal adjustments.

Download

Share

COinS