Challenges
- Understanding the data sources and finalizing true source for each parameter
- Identify best definition to predict positive patients
- Imbalanced dataset as positive patients are much lesser than negative patients in overall cohort
Solutions
- Data Preparation
- Handling missing values
- Handling imbalanced dataset
- Feature Engineering
- Model Training
- Model Evaluation and testing
- Identifying best model
Benefits
- Understanding vital parameters for positive and negative patients
- Predicting disease before onset time
- Saves patient from emergency situation
