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.

COVID19 P2P Risk Prediction Model & Dataset

Visualizing and predicting covid19 cases

Machine learning project aimed at predicting new COVID-19 cases using historical COVID-19 and mobility data. The project involves data fetching, migration, preprocessing, exploratory data analysis (EDA), feature engineering, data splitting, model training, and evaluation.

A Python based Support Vector Regression Model for prediction of Covid19 cases in India

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The repo contains initial analysis and model for COVID19 prediction model for Michigan.

A historical record of predictions from the UW IHME Covid19 model

Covid19 Prediction Modeling

Deep learning model to detect Covid 19 from chest scans/x-rays .

This is a ML project which predicts the risk of Covid19 depending upon the patient's medical record.

COVID-19 prediction model using machine learning: fetch case & mobility data, feature engineering, train/evaluate models and interpret forecasts. Python + C++/SQLite. Supports country-level analysis.

Built a covid19 application which will display the new cases, recoveries and deaths in India state wise it will also predict the same for upcoming days. The application also consists of a very simple predicting if a person is suffering from covid19 virus by adjusting the symptoms. The application is created in python with libraries like streamlit, statsmodels, pandas, matplotlib, sklearn and pickle. I loved working on Streamlit. It is a latest and awesome library for machine learning enthusiasts, it makes most of the work pretty easy.

Prediction Model for the Spread of the COVID-19 Outbreak in the Global Environment

SEIRD model for Covid19 analysis and prediction

Developed from Mers model of korea Mers

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Repo for models related to COVID19 prediction using Chest X-rays

Fuzzy based prediction model developed using python to predict or forecast COVID19 cases

COVID19 Prediction model for predicting total number of patients in nearby future in India using Prophet

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This repository contains the prediction of covid19 in india for next 7 days. This was implemented to analyse the working of working of time series models

Covid-19 Predictions Using a Novel Hybrid model of Log-Likelihood Maximized Autoregressive Integrated Moving Average (ARIMA) and minimization of residual error using Long Short-Term Memory Networks (LSTM) The data for our purpose shall be obtained from multiple sources such as, COVID19-India API and John Hopkins University.

This repository tracks the Survival rate prediction of a covid19 patient based on several factors like Symptoms,Age,gender etc. In this project, we implemented three different classification algorithms. The accuracy, precision, recall for each algorithm is evaluated individually and then their performance is compared. Final python file - Modelling part 2

Prediction model using LSTM

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COVID19 Fatality Prediction by modeling

ICU prediction model for Covid19.

Covid19 Data Visualization , Prediction Model