Cardiovascular disease prediction model using Machine Learning Algorithm

Cardiovascular disease prediction model using Machine Learning Algorithm

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografische gegevens
Hoofdauteur: Arefin Mirdha, MD Shamsul
Andere auteurs: Mostakim, Moin
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
Cardiovascular Disease
Machine Learning
Random Forest (RF)
Logistic Regression
Decision Tree
Na¨ıve Bayes
Linear Algorithm
Support Vector Machine (SVM)
K-Nearest Neighbor
Neural networks (Computer science);
Artificial intelligence
Machine learning
Online toegang:http://hdl.handle.net/10361/18023
id 10361-18023
record_format dspace
spelling 10361-180232023-03-28T21:01:43Z Cardiovascular disease prediction model using Machine Learning Algorithm Arefin Mirdha, MD Shamsul Mostakim, Moin Department of Computer Science and Engineering, Brac University Cardiovascular Disease Machine Learning Random Forest (RF) Logistic Regression Decision Tree Na¨ıve Bayes Linear Algorithm Support Vector Machine (SVM) K-Nearest Neighbor Neural networks (Computer science); Artificial intelligence Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 60-62). This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in order to better understand them and develop new and better treatment techniques. This study uses machine learning and generated data sets to evaluate and categorize the signs and symptoms of heart diseases. We’d like to see whether we can improve individual disease prediction processes so that we can predict cardiovascular diseases and their modalities more accurately. Therefore, the aim of this study is also to develop a more diversified model from the existing ones. We are focusing on cardiovascular diseases, which is among the world’s top causes of death. Multiple machine learning (ML) algorithms are being used more frequently to predict cardiovascular disease. We want to evaluate and describe how well ML algorithms generally forecast cardiovascular illnesses. This research analyzes the classification of cardiovascular disease using machine learning methods including Random Forest (RF), Logistic Regression, Decision Tree, Na¨ıve Bayes, Linear Algorithm, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Neural Network. We anticipate finding effective and efficient results that will aid in better diagnosing these cardiovascular diseases and also will help us for developing better treatment procedures. MD Shamsul Arefin Mirdha Anannya Ahmed B. Computer Science 2023-03-28T04:54:41Z 2023-03-28T04:54:41Z 2022 2022-09 Thesis ID: 12101037 ID: 14301067 http://hdl.handle.net/10361/18023 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 62 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Cardiovascular Disease
Machine Learning
Random Forest (RF)
Logistic Regression
Decision Tree
Na¨ıve Bayes
Linear Algorithm
Support Vector Machine (SVM)
K-Nearest Neighbor
Neural networks (Computer science);
Artificial intelligence
Machine learning
spellingShingle Cardiovascular Disease
Machine Learning
Random Forest (RF)
Logistic Regression
Decision Tree
Na¨ıve Bayes
Linear Algorithm
Support Vector Machine (SVM)
K-Nearest Neighbor
Neural networks (Computer science);
Artificial intelligence
Machine learning
Arefin Mirdha, MD Shamsul
Cardiovascular disease prediction model using Machine Learning Algorithm
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
author2 Mostakim, Moin
author_facet Mostakim, Moin
Arefin Mirdha, MD Shamsul
format Thesis
author Arefin Mirdha, MD Shamsul
author_sort Arefin Mirdha, MD Shamsul
title Cardiovascular disease prediction model using Machine Learning Algorithm
title_short Cardiovascular disease prediction model using Machine Learning Algorithm
title_full Cardiovascular disease prediction model using Machine Learning Algorithm
title_fullStr Cardiovascular disease prediction model using Machine Learning Algorithm
title_full_unstemmed Cardiovascular disease prediction model using Machine Learning Algorithm
title_sort cardiovascular disease prediction model using machine learning algorithm
publisher Brac University
publishDate 2023
url http://hdl.handle.net/10361/18023
work_keys_str_mv AT arefinmirdhamdshamsul cardiovasculardiseasepredictionmodelusingmachinelearningalgorithm
_version_ 1814308245950431232

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