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CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Computer Sciences
Other Subject Area: Health Sciences
Instruction in: English
Course Code: XB_0020
Transcript Source: Partner Institution
Course Details: Level 200
Recommended Semester Credits: 3
Contact Hours: 84
DESCRIPTION
The course will be structured in three thematic modules. In each of these modules an AI technique will be introduced, and then applied in the medical field. Both the AI-technique and a medical topic have to be studied in a practical, hands on, way. In a nutshell, we plan to cover the topics: - medical ontologies (eg. SNOMED, MESH, UMLS, ICD10) - indicators for medical care (cost and quality of care) - modelling of clinical guidelines
Beside these three modules there are a couple of guest lectures, for instance on natural language processing for medical texts, machine learning for finding predictors of diseases based on patient data.
Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
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