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Beragu, Suraj (2022) Effective use of Cloud Computing and Machine Learning Technologies for Smart Healthcare Applications. Masters thesis, Dublin, National College of Ireland.
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Abstract
Background: The Pandemic has triggered the Healthcare sector to look at effective use of technology to enhance the delivery of patient care, this includes use of latest technologies for delivering healthcare applications. The use of legacy and traditional technologies for deploying health care applications causes significant challenges in today’s day and age. The use of technologies like cloud computing and machine learning can provide the healthcare sector a highly scalable and reliable solution.
Objectives: The Main objective of this research is to Develop a Web application using Python (Django) framework with machine learning model for disease prediction. Which could lead the healthcare sector into a more functional and scalable application architecture.
Methodology: The development of the web application is performed using Python-Django Framework and the necessary dataset is obtained from Kaggle. The use of AWS services for Continuous Integration and Continuous deployment (CI/CD) with Code Pipeline, Code Build and Elastic Beanstalk with continuous integration with Git. For the machine learning model Random Forest, K-Nearest Neighbor and Convolutional Neural network classifiers are used. The use of fog and edge computing paradigms are also observed as part of this research.
Results: The deployment of the Django based Web Application with machine learning model to predict diseases with full CI/CD lifecycle is shown and the the machine learning model provides the prediction with high accuracy.
Findings: The methodology used was seen to be successful in terms of deploying the application with ML Model on AWS cloud and the machine learning model could predict diseases with the symptoms of the user/patient.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Heeney, Sean UNSPECIFIED |
| Uncontrolled Keywords: | Cloud Computing; Fog and edge computing; Machine Learning; HealthCare |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > Biomedical engineering T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Tamara Malone |
| Date Deposited: | 18 Apr 2023 14:16 |
| Last Modified: | 18 Apr 2023 14:16 |
| URI: | https://norma.ncirl.ie/id/eprint/6461 |
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