Advanced Healthcare Analytics
Key Takeaways
Applies neural networks, deep learning, and NLP to solve healthcare analytics problems
Original Description
Take your healthcare analytics and machine learning skills to the next level! Advanced Healthcare Analytics brings together neural networks, deep learning imaging models, and clinical natural language processing (NLP) to solve high-value problems in modern healthcare. You will explore architectures for clinical prediction, apply convolutional neural networks to medical imaging, and use domain-specific text models for clinical notes. The course also covers responsible AI for safe, ethical deployment, including chatbots and LLM-powered tools.
Using datasets representative of electronic health records, radiology studies, and provider documentation, you will build practical skills through labs in imaging and NLP. In the final project, you will build and evaluate a binary disease prediction model using structured clinical data and compare Logistic Regression with a neural network to interpret performance on the same dataset. You will also learn model evaluation, workflow-integrated decision support, privacy, and safety.
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