CMPUT 690 - Electronic Health Record & Data Analysis

Overview

This course introduces the fundamentals of data mining and lifts the veil over some misconceptions and capabilities of knowledge discovery today. The course will provide an introduction to knowledge discovery in databases and complex data repositories, and present basic concepts relevant to real data mining applications, as well as reveal important research issues germane to the knowledge discovery domain and advanced mining applications. The focus will be on health related applications. The course also provides a better knowledge of the issues related to collecting, storing, managing, accessing and using patient health data in electronic form. The course prepares students to understand and use electronic records in medical practice. The course covers various topics related to the management of electronic health records including the modeling of health data, efficient information retrieval, privacy and security concerns, the use of electronic health records in decision support and medical data analysis and data mining.

Outline (PDF, 15kb)

Objectives

• Appreciate the importance of an electronic health record
• Understand the need for standards in coding and exchanging medical data
• Understand the significance of privacy preservation and security risks in the context of electronic health records and the issues with health data anonymization
• Get introduced to data warehousing and data mining in the context of health data

Course Work

• Assignments
• Group term project
• Midterm
• Participation