Visual Analytics in Health Care
(in German: Visual Analytics in Health Care - )
Module-ID: FIN-INF-120476 |
| Link: | LSF |
| Responsibility: | Bernhard Preim |
| Lecturer: | Prof. Dr. Gabriel Mistelbauer |
| Classes: |
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| Applicability in curriculum: | - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. DKE: Applied Data Science - M.Sc. DE: Methoden der Informatik - M.Sc. DE: Fachliche Spezialisierung - M.Sc. VC: Visual Computing |
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Abbreviation VAHC |
Credit Points 3 |
Semester Winter |
Term ab 1. |
Duration 1 Semester |
Language english |
Level Master |
Intended learning outcomes:
The students ...
- know specific visual analytics solutions that are used in public healthcare applications
- can interpret and evaluate public healthcare data
- present and explain visual analytics solutions in healthcare scenarios
Content:
- Overview: Potential and applications of Visual Analytics in Healthcare
- Visual Analytics in Public Health
- Visual Analytics in Clinical Medicine
- Visual Analytics for Detecting Adverse Drug Effects Inhaltsverzeichnis Teil A (Winter) Seite 244 – Teil A Inhaltsverzeichnis Teil B (Gesamt)
- Visual Analytics in Epidemiology
Workload:
3 credit points = 90 h (28 h attendance time + 62 h independent work), grading scale according to examination regulations
| Type of examination: | Teaching method / lecture hours per week (SWS): |
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Examinations: student talk, seminar paper (10 pages) |
Seminar (3 SWS) |
| Prerequisites according to examination regulations: | Recommended prerequisites: |
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none |
Visualization, Data Mining, Visual Analytics or Information Visualization |
| Media: | Literature: |
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PowerPoint presentation, use of whiteboard, videos |
Workshop volumes of the IEEE Workshop Visual Analytics in Healthcare (since 2010), selected publications of other conferences / magazines in the fields of data analysis and visualization |
Comments: