Modeling Biomedical Systems: Ontology, Terminology, Problem Solving
Fee may apply
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.
CS106A, basic familiarity with biology
- 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.
|Dates:||January 8 - March 14, 2019|
|Times:||1:30 pm - 2:50 pm|
Provides Stanford University credit that may later be applied towards a graduate degree or certificate. Includes access to online course materials and videos for the duration of the academic quarter. Starting Autumn 2016 there is a $100 fee per course for courses dropped before the drop deadline. Click here for more information about our Registration Policies.
NotesEnrollment Dates: October 28 to December 10, 2018
This course may not currently be available to residents of certain states.