Use of Machine Learning Model for Improving Cardiovascular Condition Using Cloud Computing

Kumar, Tanuj (2023) Use of Machine Learning Model for Improving Cardiovascular Condition Using Cloud Computing. Masters thesis, Dublin, National College of Ireland.

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Abstract

There are unsupervised, supervised, and reinforcement learning are three categories into which the machine learning algorithm can be divided. By taking into consideration the many variables in the dataset, the research is integrated to predict cardiac disease. The research involves the application of logistic regression and other heart disease prediction techniques. The study falls under the experimental research category and is connected to the deployment area. The logistic Regression algorithm is taken into consideration to predict the outcome. The research generates that the model can be utilized in web applications using Flask in the future based on the feature score. The user must enter their information to be analyzed by a machine learning model to forecast the status of heart disease. The model then returns the predicted status.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Jaswal, Shivani UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science R Medicine > R Medicine (General) 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:	05 Jan 2024 16:41
Last Modified:	05 Jan 2024 17:06
URI:	https://norma.ncirl.ie/id/eprint/6905

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