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Licentiate proposal seminar: Artificial intelligence diagnostics in psychophysiological medicine
Candidate: Markus Nilsson, Department of Computer Science and Engineering, MdHAdvisory Committee:
Main advisor: docent Peter Funk, IDt, MdH
Assistant advisor: professor Björn Lisper, IDt, Mdh
Assistant advisor: dr Bo von Schéele, National Institute for Psychosocial Medicine Karolinska Institutet
Independent third person: professor Ylva Bäcklund, IEl, MdHAbstractThe contents of the licentiate proposal is concerning the use of AI in classification of complex measurements. Measurements has previously only been classifiable by domain specialists due to the complexity of the measurements. A method has been developed to accomplish this classification. The method is mainly based on CBR but uses a number of other techniques. Both AI and mathematical methods is used for feature identification. The system is classifying continuous non-stationary measurements, and has the capacity to improve performance with a growing number of solved cases. A system based on the proposed method is implemented as a clinical application (in psychphysiological medicine) as a proof of concept and in evaluation purposes.http://www.idt.mdh.se/phd/proposal.html