CASE STUDY
CLINICAL
AI can aid the drug discovery process by identifying disease patterns and suggesting drug compositions.
The dataset contains 1,048,575 records with 2 Categorical and 19 Numerical Features.
Sriya-AI models were created using Decision tree, Multi-layer Perceptron, Random forest, XGBoost, and RNN algorithms.
The models predicted whether the patient had COVID-19 or not with an average accuracy of 60% - 62%.