Heart disease prediction using machine learning algorithms

Heart disease prediction using machine learning algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Xehetasun bibliografikoak
Egile Nagusiak:	Ali, Musfiq, Khan, MD. Iftiyar, Imran, Masud Al, Siddiki, Musnath
Beste egile batzuk:	Arif, Hossain
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2019
Gaiak:	Heart disease Machine learning Machine learning.
Sarrera elektronikoa:	http://hdl.handle.net/10361/12269

Antzeko izenburuak

Machine learning approach for ECG analysis and predicting different heart diseases
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Argitaratua: (2019)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
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Argitaratua: (2020)

Heart disease prediction using techniques of classification in machine learning
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Argitaratua: (2021)

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Argitaratua: (2023)

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Argitaratua: (2019)

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Predicting depression in Bangladeshi undergraduates using machine learning
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Argitaratua: (2019)

Cardiovascular disease prediction model using Machine Learning Algorithm
nork: Arefin Mirdha, MD Shamsul
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Heart attack prediction using machine learning and XAI
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Analysis of the impact of online education using EEG signals and machine learning algorithms
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Chronic kidney disease detection using ensemble classi ers and feature set reduction
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Observing mega cities to grow from space and predicting its growth using machine learning techniques
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Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
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Argitaratua: (2022)

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Argitaratua: (2024)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
nork: Jahan, Asif
Argitaratua: (2024)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
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Argitaratua: (2021)

Health monitoring IoT device with risk prediction using cloud computing and machine learning
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Argitaratua: (2021)

Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019)

Flood prediction using ensemble machine learning models
nork: Rahman, Tanvir
Argitaratua: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
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Argitaratua: (2024)

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A machine learning approach to predict crime using time and location data
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Argitaratua: (2017)

Machine learning for stress prediction
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Argitaratua: (2023)

Predictive maintenance of HVAC system using supervised machine learning algorithms
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Text classification using machine learning algorithms
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Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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Predicting COVID-19 disease outcome and post-recovery conditions using machine learning
nork: Sajid, Abul Kasem, et al.
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Using deep learning algorithms to detect violent activities
nork: Ammar, S.M. Rojin, et al.
Argitaratua: (2019)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
nork: Hasan, Raad, et al.
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Diabetic retinopathy detection using machine learning
nork: Maliha, Maisha, et al.
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A machine learning approach to detect depression and anxiety using supervised learning
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Subjectivity analysis using machine learning algorithm
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