Predictive Modeling and Health Machine Learning

Catalog description

This course will focus on the application of sophisticated machine learning models and statistical techniques to healthcare data. Students will explore algorithms such as regression, decision trees, ensemble methods, neural networks among other deep learning methods. Emphasizing the unique challenges of healthcare data, the course addresses high-dimensionality, missing values, ARIMA, classification, clustering, and visualization equipping students with strategies to optimize model performance and reliability. Through hands-on work with real-world datasets, students will develop the skills to design, implement, and evaluate advanced machine learning models while effectively communicating results to technical and non-technical audiences to support innovation and decision-making in healthcare.