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Linköping Institute of Technology

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Valid for year : 2006
 
TBMI27 Classification and Decision Support, 9 ECTS credits.
/Klassificering, tolkning och beslutsstöd/

For:   C   D   I   Ii   IT   TB   Y  

 

Prel. scheduled hours: 62
Rec. self-study hours: 178

  Area of Education: Medicine

Subject area: Biomedical Engineering

  Advancement level (A-D): C

Aim:
The aim is to holistically describe the process of obtaining knowledge from clinical data, choosing suitable classification algorithms, interpretation, knowledge representation, implementation and evaluation of decision support. After the course the participants should have acquired knowledge on hypothesis testing and classification methods, their properties and their applications in the medical domain. Methods and models used in decision support design and development are surveyed and demonstrated. After the course the participants also should be able to describe the process of evaluating decision support and its impact on treatment results and organization, as well as problems associated with implementation and use of decision support.

Prerequisites: (valid for students admitted to programmes within which the course is offered)
TBME02 Anatomy and physiology or TBME50 Biomedical Engineering.

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.

Organisation:
The course contains lectures, seminars, demonstrations, laboratory experiments, home work and a project assignment. It spans HT2 and VT1.

Course contents:
Models of decision support and medical decison making - Variability and imprecision of medical data - Knowledge acquisition and formalisation - Statistical methods for classification and hypothesis testing - Inductive methods - Realization of knowledge bases - Rule-based and probabilistic methods - Hypertext systems, flowcharts and protocols - data-driven systems - Interaction and integration - Evaluation

Course literature:
Shortliffe EH, Perreault LE, eds. Medical informatics: computer applications in health care and biomedicine. New York: Springer; 2001 and a supplementary compendium

Examination:
Written examination
Written and oral presentation of project assignment
Laboratory work
2 p
2 p
2 p
 
If the number of exchange students is large the teaching language is English. If not, the exchange students will be tutored individually.



Course language is Swedish/english.
Department offering the course: IMT.
Director of Studies: Göran Salerud
Examiner: Håkan Petersson
Link to the course homepage at the department


Course Syllabus in Swedish

Linköping Institute of Technology

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Contact: TFK , val@tfk.liu.se
Last updated: 02/25/2016