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| 02/03 - 05/22 | ||||||
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5:45 pm |
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Subject: Software Eng (Grad) (SEIS)
CRN: 22931
Lecture
St Paul: O'Shaughnessy Science Hall 313
Requirements Met:
Software Data Mgmt Conc
Software Technical Elective
We can keep improving the quality and safety of health care if the rapid growth of medical knowledge and medical data can be efficiently analyzed and effectively shared. This course will discuss processes in healthcare analytics, including data acquisition, storage, retrieval, management, and analysis of healthcare data in heterogeneous formats (i.e. numeric health records, medical text, and medical images). Major topics include: (1) analyzing patient records and identifying frequent medical sequences for treatment and prevention, (2) evaluating medical text and generating aggregated summary based on hierarchical medical concepts, (3) retrieving information from different types of medical images, (4) building clinic decision support systems to detect possible medical mistakes, and (5) comparing brain connectivity graphs from patients with different neurological conditions. Amazon Cloud will be used to analyze multi-million records of numeric and text data. Prerequisite: SEIS 630 and SEIS 632.
3 Credits