Heart disease prediction system

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

書誌詳細
主要な著者:	Amit, Tayab Al Azad, Fullkoli, Raida Nawar, Palit, Niloy, Nafisa, Farhana Khan, Binoy, MD Muntakim Ahmed
その他の著者:	Mostakim, Moin
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2022
主題:	Random Forest Classi fier Decision tree Logistic regression Support vector machine MLP classifier Conv-MLP Neural networks Heart disease detection Machine learning Neural networks (Computer science) Artificial intelligence.
オンライン･アクセス:	http://hdl.handle.net/10361/16900

id	10361-16900
record_format	dspace
spelling	10361-169002022-06-06T21:01:46Z Heart disease prediction system Amit, Tayab Al Azad Fullkoli, Raida Nawar Palit, Niloy Nafisa, Farhana Khan Binoy, MD Muntakim Ahmed Mostakim, Moin Ashraf, Faisal Bin Department of Computer Science and Engineering, Brac University Random Forest Classi fier Decision tree Logistic regression Support vector machine MLP classifier Conv-MLP Neural networks Heart disease detection Machine learning Neural networks (Computer science) Artificial intelligence. 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 30-32). [1]According to the World Health Organization (WHO), 17.9 million people die each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide. This single piece of evidence is strong enough to describe the lethal nature of cardiovascular diseases or, as we know, heart diseases. There is no denying that different medical sectors using the help of high-end technologies, now have gured out ways to tackle serious CVDs. However, then again, we indeed cannot rule out the amount of distress these CVDs bring. We need to know how to prepare ourselves to face di erent heart diseases. One of the many ways can be implementing di erent Machine Learning and Neural Network algorithms. Say, for example, in this paper; we will discuss algorithms like Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), ConvMLP, and ANN; on how each of these techniques can be applied to nd out a better way to predict the availability of heart disease in a particular individual depending on few given factors. Our main goal is to make the course easy to detect diseases that belong to the heart and enriches the medical sector. In our country, the medical sector is improving day by day. We aim to boost this improved significantly. By using Machine Learning and Neural Network algorithm, we are optimistic about implementing this idea. Tayab Al Azad Amit Raida Nawar Fullkoli Niloy Palit Farhana Khan Nafisa MD Muntakim Ahmed Binoy B. Computer Science 2022-06-06T04:33:41Z 2022-06-06T04:33:41Z 2022 2022-01 Thesis ID 18201197 ID 17301204 ID 17301094 ID 19101654 ID 17201048 http://hdl.handle.net/10361/16900 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. 32 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Random Forest Classi fier Decision tree Logistic regression Support vector machine MLP classifier Conv-MLP Neural networks Heart disease detection Machine learning Neural networks (Computer science) Artificial intelligence.
spellingShingle	Random Forest Classi fier Decision tree Logistic regression Support vector machine MLP classifier Conv-MLP Neural networks Heart disease detection Machine learning Neural networks (Computer science) Artificial intelligence. Amit, Tayab Al Azad Fullkoli, Raida Nawar Palit, Niloy Nafisa, Farhana Khan Binoy, MD Muntakim Ahmed Heart disease prediction system
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 Amit, Tayab Al Azad Fullkoli, Raida Nawar Palit, Niloy Nafisa, Farhana Khan Binoy, MD Muntakim Ahmed
format	Thesis
author	Amit, Tayab Al Azad Fullkoli, Raida Nawar Palit, Niloy Nafisa, Farhana Khan Binoy, MD Muntakim Ahmed
author_sort	Amit, Tayab Al Azad
title	Heart disease prediction system
title_short	Heart disease prediction system
title_full	Heart disease prediction system
title_fullStr	Heart disease prediction system
title_full_unstemmed	Heart disease prediction system
title_sort	heart disease prediction system
publisher	Brac University
publishDate	2022
url	http://hdl.handle.net/10361/16900
work_keys_str_mv	AT amittayabalazad heartdiseasepredictionsystem AT fullkoliraidanawar heartdiseasepredictionsystem AT palitniloy heartdiseasepredictionsystem AT nafisafarhanakhan heartdiseasepredictionsystem AT binoymdmuntakimahmed heartdiseasepredictionsystem
_version_	1814308388330274816

Heart disease prediction system

類似資料