Pavansomisetty21/Heart-attack-prediction-using-machine-learning

we predict that the patient is suffering with heart attack or not

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Sjha2012/Heart-Attack-Risk-Prediction-Using-ML

Heart-Attack-Risk-Prediction-Using-ML is a machine learning-based project designed to predict the risk of a heart attack in a patient over the next 10 years. By analyzing key health indicators such as age, BMI, blood pressure, heart rate, and blood glucose levels, the model provides a percentage risk score.

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PiyushKBhattacharyya/Heart_Attack_Prediction

Heart-Disease Prediction Model using TensorFlow on UCI Dataset

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patricialuca/DataScience_HeartAttackAnalysis

Este proyecto aborda la limpieza, análisis y modelado predictivo de un conjunto de datos de ataques al corazón. Utilizamos métodos de estadística y aprendizaje supervisado para clasificar las probabilidades de sufrir un ataque al corazón en función de varias características clínicas.

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ergineeer/HeartAttackPrediction

Heart Attack Prediction Study - Python & MATLAB

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srpra/Heart-Attack-Prediction-using-Gradient-Boost

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snaffisah/Heart-Attack-Prediction-Analysis-Streamlit

Creating machine learning model analysis using logistic regression and run the Streamlit apps to predict the probability of having heart attack in future.

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brenden-DS/heart-classification

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wildanmjjhd29/Heart-Atack-Prediction

Mechine Learning | Heart Attack Prediction

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zritter2050/CorMeum

Heart attack risk prediction using machine learning (Random Forest Model)

Language: Python - Size: 1.56 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

tdishant/Heart-attack-risk-prediction

predicting the risk of heart attack using various machine learning models such as Logistic Regression, Decision Tree, Random Forest, K Nearest Neighbour and SVM

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GFaure9/Heart_Attack_Prediction

Main repository for Kaggle's heart attack data science project (EDA + prediction).

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MahsaBakhtiari/Heart_Attack-prediction

CNN heart attack prediction model

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2021-InternshipBLR/ml-data-prediction-mindsdb-python

Experimenting with MindsDB & Python Classification Algorithms

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pachondaniela/heartattackprediction

Bootcamp's final project - Use classical Machine Learning models to predict whether a patient is at risk of suffering a heart attack.

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RaziyeAkr/heart-attack-classification

In this notebook, I have reviewed several classification algorithms on datasets.

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Joshi-Karan/Heart-Attack-Prediction

Trying different ML algorithms to predict the chance of getting Heart Attack on basis of given input.

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Infi-09/Heart-Attack-Project

This project contains the jupyter notebook and the data used for the Machine Learning C;lassification problem

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wassim249/Heart-attack-classifier-api--90--accuracy-

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miladtulabi/classification-heart-attack

classification problem using knn, svm and simple neural networks

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rmead7/Prediction-of-Survival-After-Heart-Attack

Data is analyzed to identify the likelihood of a patient who has had a heart attack, and what their survival rate will be after the event.

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zachcarlson/HeartAttackPredictor

Predicting heart attack risk using ML techniques. Final project for DSCI 631.

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devsagarkhatri/Heart-Attack-Prediction Fork of carnation2215/Heart-Attack-Prediction

Supervised machine learning model developed to detect and predict potential heart attacks in patients using the Heart-Attack-Analysis-and-Detection Dataset available on Kaggle

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ravindukariyapperuma/Heart-Attack-Risk-Prediction

Machine Learning Project 🤖 . Much research has been conducted to pinpoint the most powerful factors of heart disease and accurately predict the overall risk. Heart Attack is even highlighted as a silent killer that leads to the person's death without noticeable symptoms. Most heart patients are treated for heart diseases but they are not well controlled. The early diagnosis of heart disease plays a vital role in making changes to the lifestyle of high-risk patients and in turn to reduce the complications that occur. The overall system aims to calculate the risk of future heart attack by analyzing data of heart patients which classifies whether they have the risk of a heart attack or not using machine-learning algorithms.

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sushmithas99/Early-heart-attack-prediction

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