This web application is motivated by Baymax of the animated movie Big Hero 6. It detects Valvular Heart disorder i.e. damage or defect in one of the four heart valves. On the Machine Learning side, I have used AutoML from the deep learning platform H2O. And the interactive application is build in RShiny.
This interactive web application is motivated by Baymax of the animated movie Big Hero 6. It detects Valvular Heart disorder i.e. damage or defect in one of the four heart valves. On the Machine Learning side, I have used AutoML from the deep learning platform H2O. And the interactive application is build in RShiny.
There are three main files in this application:
h2o_model.R consists of the pretrained model. I have used the AutoML function from h2o to find the best model. The best model is then saved and is used in the RShiny application.
The other two files are ui.R and server.R used in the RShiny application.
The other important files are
The initial data used for model building is in Z_Alizadeh_Sani.csv
modeling_data.csv is the dataset obtained after feature subset selection (using Boruta).
minibaymax---a-low-cost-interactive-diagonostic-tool-for-valvular-heart-disease-detection's People
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent