Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
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Updated
Nov 1, 2023 - Jupyter Notebook
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
Heart disease classifier web app
Heart Disease Analysis repository
Heart Disease prediction using 5 algorithms
A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.
Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.
Repository for the Machine Learning for Smart Health System course offered by Dr. Juber Rahman at Omdena School platform. Join the course here https://omdena.com/omdena-school/
Machine Learning project to predict heart diseases
Heart disease prediction using Machine Learning, data came from the Cleavland data from the UCI Machine Learning Repository.
Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"
Medical Diagnosis A Machine Learning Based Web Application
A heart disease prediction classifier based on the Cleveland Database. The objective is to predict the presence of heart disease.
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
Project for "Data Processing" course
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