Scalable and Robust Cloud-Based System for Heart Disease Prediction Using Ensemble Learning

Prasad, Manisha (2023) Scalable and Robust Cloud-Based System for Heart Disease Prediction Using Ensemble Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

The proposed paper presents a comprehensive study outlining the methodology and implementation of a highly scalable and reliable system for predicting heart disease. The research leverages cutting-edge technologies, including cloud computing and machine learning, to develop a robust solution which means that it is designed to be strong and resilient, able to handle various scenarios and provide accurate predictions. The study employs popular ensemble learning techniques, training AdaBoost, Decision Tree, Random Forest, and Stacking Classifier models using Python’s scikit-learn module. The system’s user interface is developed using Flask for web application development, allowing users to input patient data and obtain disease predictions seamlessly. The deployment is carried out on the AWS Cloud infrastructure, utilizing services such as AWS SageMaker, EC2 instances, and Elastic Beanstalk for rapid and scalable deployment. CodeDeploy integration facilitates smooth deployment pipelines, ensuring easy application changes and maintenance. To ensure the accuracy, precision, and dependability of the generated models, rigorous testing and validation methods are carried out. Overall, this research contributes to the field of illness prediction by combining advanced technology with ensemble learning approaches and cloud capability, offering a powerful and scalable solution for accurate assessment.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Vikas UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing R Medicine > Healthcare Industry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	10 Apr 2025 10:57
Last Modified:	10 Apr 2025 10:57
URI:	https://norma.ncirl.ie/id/eprint/7404

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