Bayesian prediction for ❤️ diseases
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Updated
Apr 16, 2019 - Python
Bayesian prediction for ❤️ diseases
Heart-Disease dataset analysis using Matlab and the Orange framework.
This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease
Data Analyisis of heart disease.
❤️ Predict heart-disease based on a patient's medical attributes.
The project is based upon the kaggle dataset of Heart Disease UCI. The final model is generated by Random Forest Classifier algorithm, which gave an accuracy of 88.52% over the test dataset that is generated randomly choosing of 20% from the main dataset.
A heart disease identification machine learning workflow.
Predict the risk factors for heart disease.
A system that predicts the risk of heart diseases in patients using information such as chest pain, cholesterol, thalassemia, exercise-induced angina, ECG, etc.
Predicting heart disease using machine learning
A Machine Learning model to predict Heart Disease Prediction.
I serve as a mentor in their initiative "Mentober" - a month-long mentorship program, wherein I guide my mentee in building a strong profile and helping her in developing technical skills in Web Development & Machine Learning.
Heart disease prediction and Kidney disease prediction. The whole code is built on different Machine learning techniques and built on website using Django
My First Machine Learning Project
Final Project of the Machine Learning I Course - Artificial Intelligence Specialization - Embedded Systems Lab - University of Buenos Aires. Data Analysis and Model Development for the UCI Heart Disease Dataset.
HEART DISEASE PREDICTION: Prediction of whether or not a patient had a heart disease using the Clinical parameters about a patient.
Heart disease depicts a scope of conditions that influence your heart. Diseases under the heart disease umbrella incorporate vein diseases, for example, coronary supply route disease, heart musicality issues (arrhythmias) and heart deserts you're brought into the world with (intrinsic heart abandons), among others.
Voting Classifier and Artificial Neural Network for predicting heart disease.
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