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Introduction to Biomedical Informatics

Share Last Updated: January 24, 2018


Biomedical informatics (BMI) is the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health.
This course will provide a high level introduction to the field and will serve as a launchpad into other more focused courses that explore the computational and analytic needs of BMI, as well as the clinical, research and translational application of informatics.

It is broken into three parts namely:
Part 1: Foundational Tools and Technologies: What is BMI; data management, storage & representation; computational techniques; security; machine learning
Part 2: Imaging Informatics: Imaging modalities; standards (DICOM, IHE); quantitative imaging for detection and response assessment; imaging as a biomarker; digital pathology; machine learning applied to imaging
Part 3: Clinical Informatics: Health care environment and processes, standards and systems in HIT; application of machine learning to clinical informatics problems.

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