This project aims to analyze healthcare data to predict the likelihood of specific diseases in patients. By applying data science techniques, the goal is to provide early disease detection and risk assessment.
Internship Description
Data Collection : Gather diverse, privacy-compliant healthcare data.
Data Preprocessing : Clean, standardize, and encode data.
Feature Engineering : Identify relevant features and create new ones.
Model Development : Select ML algorithms, train, and evaluate models.
Risk Assessment : Develop a risk assessment framework and integrate it with healthcare systems.