392160 Privacy in Healthcare (S) (SoSe 2023)
Contents, comment
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Modern healthcare practice is confronted with overwhelming amounts of data, in form of electronic health records, individual genetic profile information, and various forms of images. Storing and arranging the data masses is already difficult. Beyond just storage, however, anonymization is a driving concern. Privacy and safety are values of utmost importance.
In this seminar, we will review and discuss various articles that deal with algorithms, statistics, data structures and artificial intelligence approaches that support safety and privacy of individual clinically relevant data.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Di | 16-18 | V2-135 | 03.04.-14.07.2023 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-BDS Biomedical Data Science for Modern Healthcare Technology | Ausgewähltes Seminar oder Projekt | Study requirement
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
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- 7 Students to be reached directly via email
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- Last update basic details/teaching staff:
- Wednesday, March 13, 2024
- Last update times:
- Thursday, February 16, 2023
- Last update rooms:
- Thursday, February 16, 2023
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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