67-410 Clinical Data Science

9 units, Carnegie Mellon University

This course is designed as an introductory course in Critical Care Data Science, providing an introduction to the tools and techniques of data science, specifically focused on clinically relevant critical care. Electronic Medical Records Common Data Models for Clinical Data SQL Querying Computational Phenotyping Common Machine Learning Techniques Supervised Unsupervised Reinforcement Learning and Reporting Clinical Data Science Research.

Prerequisites: none listed

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