Modeling Biomedical Systems: Ontology, Terminology, Problem Solving

BIOMEDIN210

Stanford School of Engineering


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Description

The abundance of data in the life sciences and the widespread adoption of electronic health records have spawned a rapidly growing industry that works towards the proper management and intelligent use of biomedical data.

This course provides an introduction to semantic technology in biomedicine, providing a platform for understanding how computers are being used to communicate knowledge and integrate data in the health care and life sciences fields. Students will learn about current trends in the development of advanced biomedical software systems and acquire hands-on experience with several systems and tools.

Instructor(s)

Prerequisites

CS106A, basic familiarity with biology

Topics include

  • Modeling ontologies
  • Knowledge representations
  • Semantic web standards and data
  • Probabilistic reasoning
  • Clinical systems 
  • Controlled terminology
  • Modeling for health IT and biomedical data
  • Decision theory and cognitive biases

Note on Course Availability

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.

012 Winter 2018-19 Online

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Dates:January 8 - March 14, 2019
Days: Tue, Thu
Times:1:30 pm - 2:50 pm
Units: 3.00
Instructors: Mark Musen
Delivery Option:
Online
Fees:
For Credit $3,780.00 ?

Notes

Enrollment Dates: October 28 to December 10, 2018

This course may not currently be available to residents of certain states.