| TBMI27 | Classification and Decision Support, 9 ECTS credits. /Klassificering, tolkning och beslutsstöd/ |
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Area of Education: Medicine Subject area: Biomedical Engineering |
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| Advancement level
(A-D): C
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| Aim: The course deals with different classification methodology, their properties and applications within selected clinical areas. Methodology and models used in decision support systems design and development are overviewed and demonstrated. The course looks in a holistic way on the process of obtaining knowledge from clinical data, choosing suitable classification algorithms, interpretation, knowledge representation, implementation and evaluation of decision support system. Methods of various approaches such as multivariate statistics, artificial intelligence are compared in their efficacy to solve selected medical problems. |
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| 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. |
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| Supplementary courses: TBMI30 Telemedicine |
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| Organisation: Lectures, tutorial sessions, demonstrations (32h) and laboratory work (32h). |
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| Course contents: Models of medical decision making, variability and complex nature of medical data including noise, redundancy and imprecision. Probabilistic based methods, decision trees, Bayesian theory, sensitivity, specificity, predictive values, ROC curve. Casual Probabilistic Networks (CPNs). Statistical methods for classification, discriminating, summarizing and prediction. Inductive methods (decision trees). Data mining from larger amounts of medical data(bases). Knowledge representation �?" rule-based and flowchart/protocol based systems. Hypertext systems, data driven systems (MLMs, ARDEN Syntax). Examples of medical and clinical decision support systems. Experimental work with SPSS; Excel, Answer Tree, Illiad. |
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| Course literature: Course notes and compendium, IMT. van Bemmel. Handbook of medical informatics. Springer Verlag 1997. Shortliffe. Medical informatics - computer applications in health care. Addison Wesley 1990. |
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| Examination: | |||
| Written examination Written and oral presentation of project work. Three laborations |
2 p 2 p 2 p |
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| If the number of exchange students are large the teaching language is english. If not, the exchange students, will be given the opportunity to have an english mentor during the course. | |||
Course language is Swedish. Department offering the course: IMT. Director of Studies: Göran Salerud Examiner: Ankica Babic Link to the course homepage at the department Course Syllabus in Swedish |
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