Title:
MACHINE LEARNING MODELING OF COVID-19 AND CORONARY HEART DISEASE FOR PUBLIC HEALTH MONITORING AND CLINICAL DECISION SUPPORT
MACHINE LEARNING MODELING OF COVID-19 AND CORONARY HEART DISEASE FOR PUBLIC HEALTH MONITORING AND CLINICAL DECISION SUPPORT
Author(s)
Epperson, Rachel Elizabeth
Advisor(s)
Wang, May Dongmei
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Abstract
Prediction of healthcare trends to improve public health and clinical decision making is a challenge affecting all lives and requires state-of-art mathematical modeling to solve. The use of artificial intelligence (AI) in clinical informatics is becoming more prevalent as healthcare data analytics advances. The goal is to make a better life for humans overall, whether that be physically or mentally. AI can be used to make accurate data driven predictions from the effects of pandemics to coronary heart disease risk assessment. Both of these challenges are important to solve, as we currently live in the COVID-19 pandemic, and many Americans experience heart problems due to the increase in unhealthy trends in the average diet and lifestyle. Through the application of AI, the prevalence of COVID cases across space, time, and populations can be predicted from analysis of available COVID data. Specifically, we use multiple linear models and time series data analysis, such as linear regression and deep/machine learning methods to predict future trends. Pandemic forecasting can be used as a tool for medical professionals to prepare for what is to come. Forecasting is also an essential tool to predict individual health outcomes, especially in one of the most important organs, the heart. For this challenge, we use logistic regression and advanced AI techniques to identify important interactions between clinical features to create a tool for clinical decision support to estimate risk of coronary heart disease. Oftentimes, it is difficult for clinicians to optimize treatment if they are unsure whether their patient is at risk for coronary heart disease. Our risk calculator can aid in this clinical decision making challenge. Both forecasting approaches offer solutions to current healthcare challenges while using state of art tools and data analysis approaches in AI. Through these methods and applications, mankind can work through problems together by taking advantage of the tools created by using AI in forecasting data. We face many problems as a society, and the goal of this research is to alleviate the stress of those involved, as well as potentially lessening the effects on humans physically. Through AI, it is now possible to answer the question of predicting the result of an initial COVID-19 test, as well as calculating the risk that a patient will contract coronary heart disease based on their characteristics, which in turn will aid medical professionals in making clinical decisions for treatment accordingly.
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Date Issued
2022-05
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Resource Type
Text
Resource Subtype
Undergraduate Thesis