Prediction of coronary heart diseases using supervised machine learning algorithms

Prediction of coronary heart diseases using supervised machine learning algorithms

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

Bibliografiske detaljer
Main Authors:	Salam, Nazia Binte, Raisa, Samiha, Rashid, Rahela Atia, Noor, Asmita, Obaed, Sin-Sumbil Binte
Andre forfattere:	Choudhury, Najeefa Nikhat
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Cardiovascular disease Random forest algorithm K-NN Machine learning Computer algorithms
Online adgang:	http://hdl.handle.net/10361/18702

Lignende værker

A counseling system to predict the study path for freshmen
af: Usha, Rowshni Tasneem, et al.
Udgivet: (2019)

Effectiveness of data mining in predicting heart diseases
af: Afrin, Shahria, et al.
Udgivet: (2018)

Cardiovascular disease prediction model using Machine Learning Algorithm
af: Arefin Mirdha, MD Shamsul
Udgivet: (2023)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
af: Farabe, Abdullah Al, et al.
Udgivet: (2021)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
af: Oishi, Fayza Rezwana, et al.
Udgivet: (2020)

Analysis on IOT Botnet and DDOS attack
af: Nur, Md. Walid Bin
Udgivet: (2018)

Finding suitable locations for live campaigns using different machine learning techniques
af: Qudar, Mohiuddin Md. Abdul, et al.
Udgivet: (2018)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
af: Rahee, Arnob, et al.
Udgivet: (2021)

European Heart Journal

Identification and comparative analysis of potholes using image processing algorithms
af: Anik, Fahim Shahriare, et al.
Udgivet: (2018)

European Heart Journal Supplements

An approach to detect epileptic seizure using XAI and machine learning
af: Bijoy, Emam Hasan, et al.
Udgivet: (2022)

European Heart Journal - Cardiovascular Imaging

Analysis of quantum algorithms
af: Farastu, Paresha, et al.
Udgivet: (2018)

Design and analysis of algorithms /
af: Dave, Parag H
Udgivet: (2008)

European Heart Journal - Quality of Care and Clinical Outcomes

European Heart Journal - Cardiovascular Pharmacotherapy

Squad selection for cricket team using machine learning algorithms
af: Malek, Meraj-Bin-, et al.
Udgivet: (2019)

Heart disease prediction system
af: Amit, Tayab Al Azad, et al.
Udgivet: (2022)

Fundamentals of algorithmics /
af: Brassard, Gilles, 1955-
Udgivet: (1996)

Predicting brain age from EEG signals using machine learning and neural network
af: Pratanu, Abul Mushfique Muslah, et al.
Udgivet: (2023)

Algorithms /
af: Dasgupta, Sanjoy
Udgivet: (2008)

Predicting criminal activities analyzing video signal using machine learning
af: Sadman, Syed Md., et al.
Udgivet: (2021)

Predictive maintenance of HVAC system using supervised machine learning algorithms
af: Fahim, Md. Zubayer Ahmed, et al.
Udgivet: (2021)

Improved optimum dynamic time slicing CPU scheduling algorithm based on round robin approach
af: Ullah, Md. Shihab
Udgivet: (2018)

A voice signal based gender prediction model using random forest classifier
af: Ahmed, Saif, et al.
Udgivet: (2018)

Brain tumor detection through image processing
af: Azmim, Tahaziba, et al.
Udgivet: (2021)

Finding habitable exo planets using boosting algorithm
af: Rahman, Md. Mashfiq, et al.
Udgivet: (2020)

Advanced data structures /
af: Brass, Peter
Udgivet: (2008)

Algorithms /
af: Johnsonbaugh, Richard, 1941-
Udgivet: (2004)

Introduction to the design & analysis of algorithms /
af: Levitin, Anany
Udgivet: (2008)

An introduction to the analysis of algorithms /
af: Sedgewick, Robert, 1946-
Udgivet: (1996)

Computer algorithms : introduction to design and analysis /
af: Baase, Sara
Udgivet: (2000)

In quest of an improved algorithm for transforming plane triangulations by simultaneous flips
af: Prapty, Annesha Chowdhury, et al.
Udgivet: (2023)

Implementation of real-time rickshaw hiring application
af: Haque, Md. Monzurul, et al.
Udgivet: (2022)

A feature selection approach to determine obesity using machine learning method
af: Antor, Shahidul Alam, et al.
Udgivet: (2021)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
af: Mahmud, Booshra Nazifa, et al.
Udgivet: (2019)

Best feature selection and data visualization for breast cancer prediction
af: Hemel, Tanjim Ahmed, et al.
Udgivet: (2020)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
af: Hossain, Ashraful, et al.
Udgivet: (2024)

A supervised machine learning approach to predict vulnerability to drug addiction
af: Faisal, Fahim, et al.
Udgivet: (2020)