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Machine Learning in Medical Applications


Dozent(in): PD Dr. habil. Jonghwa Kim
Termin: Mo. 10.00 - 11.30
Gebäude/Raum: Raum 207 (Eichl.)


Inhalt der Lehrveranstaltung:

Advances in artificial intelligence (AI) and machine learning (ML) make analysis of large collections of complex data more realistic. Such technology, including rule-based algorithms, adaptive control approach, machine learning, fuzzy logic, and causal network, can provide valuable solutions for feature analysis, knowledge management, and decision-making in the biological and medical fields. For example, given a set of clinical cases that act as examples, a machine learning system can produce a systematic description of those clinical features that uniquely characterize the clinical conditions. This knowledge can be expressed in the form of simple rules, or often as a decision tree. Hence, the ultimate goal of deploying ML in medical applications is to improve the quality of medical decision, increase patient compliance, and minimize iatrogenic disease and medical errors. Recently, a number of computer-based expert systems for supporting decision-making have been proposed to assist medical professionals and practitioners. Such a system can also be employed to design patient-centered health information systems that help, not only patients but also healthy people, optimize their life-style. In this seminar, we will investigate the role of ML/AI in modern medical applications and discuss new potential of ML/AI for particular situations in which they can make a significant contribution. During the seminar we will explore following topic areas;

 - ML in disease detection, diagnosis, and treatment planning
 - ML in e-health systems
 - ML in statistical analysis of clinical data
 - ML/AI in clinical decision support system (CDSS)
 - Intelligent personal healthcare monitoring
 - Human-machine interfaces for disabled persons
 - Expert systems for healthcare  
 - Architectures and algorithms for knowledge-based medical decision systems
 - Aspects of knowledge representation and reasoning in medicine
 - Information modeling in health care and biomedical systems
 - Knowledge guided human computer interaction (HCI) in biomedical and health care professions

Special topic: Emotion and Diabetes
 - Review of empirical elucidations regarding „emotion and diabetes“
 - Relationship between ANS (autonomous nerves system) and glucose level
 - Diabetes-specific emotional symptoms
 - Case studies of hyperglycemia/hypoglycemia
 - Role of emotions in self-management of diabetes mellitus
 - Impact of emotions on diabetes (glucose level) and vice versa

 

Registration for the seminar

Online registration is available in this site and will be closed on the Sept. 30, 2008.

Seminar format and important dates

The seminar will take place in block mode, two blocks: 15-17 Dec. 2008 and 26-28 Jan. 2009. The dates are provisional and can be rearranged by availability of presentation room and number of participants. First meeting day for the registered seminar participants is on the Oct. 13, 2008 in Room 207 as specified in regular time plan. In the meeting, all organizational issues will be addressed such as topic allocation, confirmation of registration, and presentation dates. Therefore attendance at the meeting is mandatory for all participants.

Submitting proposals

Because of very wide spectrum of the topic areas, it might not be possible to provide a literature list for each topic. It means that participant can propose presentation topic by submitting a short description of considered topic to the supervisor (Dr. Jonghwa Kim, kim@ieee.org). The proposal must include presentation title, related topic area (in terms of the list of topic areas above), short abstract, and reading list (three primary articles in bold on the top of the list). Deadline of submission is by the Sept. 23, 2008. Acceptance of proposals will be notified in the first meeting where the rest topic areas will be allocated to the participants who did not make proposal, i.e. „first-come, first-served“.

Presentation and report

 - All presentations and reports must be made/written in English
 - Each presentation should last max. 25 minutes, allowing a further 5 minutes for discussion.
 - Attendance at all presentations is mandatory
 - Final version of report (max. 20 pages, acceptable file formats: .pages /.doc / .docx /.pdf) and presentation slides (acceptable file formats: .key / .ppt / .pptx) must be submitted by one week prior to presentation date.


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weitere Informationen zu der Lehrveranstaltung:

empfohlenes Studiensemester der Lehrveranstaltung: ab dem 5. Semester
Fachrichtung Lehrveranstaltung: Multimedia-Methoden
Dauer der Lehrveranstaltung: 2 SWS
Typ der Lehrveranstaltung: S - Seminar
Leistungspunkte: 4
Semester: WS 2008/09