The Xgboost trained model utilises a set of input parameters from the user which includes the Brain MRI scan information and the personal background information to predict the CDR value for early detection from Brain MRI.
It is built through a processed stage involving-
- Data preprocessing
- Training Linear Model and analysing the performance, p-values, fitting plots, residuals, R-square values, etc.
- Training Xgboost Model
- Training Neural Network Model
- Used Plumber API to connect model from R studio to the Website
- Built the front end and configured the API
