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Induction of an Adaptive Neuro-Fuzzy Inference System for Investigating Fluctuation in Parkinson´s Disease: The 23rd Annual Workshop of the Swedish Artificial Intelligence Society Umeå, May 10-12, 2006
Mälardalen University, Department of Computer Science and Electronics. Dalarna University, Borlänge, Sweden .ORCID iD: 0000-0002-1212-7637
Dalarna University, Borlänge, Sweden .
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0002-5562-1424
Dalarna University, Borlänge, Sweden .
2006 (English)In: Proceedings of SAIS 2006, 2006, p. 67-72Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a methodology to formulate natural language rules for an adaptive neuro-fuzzy system based on discovered knowledge, supported by prior knowledge and statistical modeling. These rules could be improved using statistical methods and neural nets. This gives clinicians a valuable tool to explore the importance of different variables and their relations in a disease and could aid treatment selection. A prototype using the proposed methodology has been used to induce an Adaptive Neuro Fuzzy Inference Model that has been used to "discover" relationships between fluctuation, treatment and disease severity in Parkinson. Preliminary results from this project are promising and show that Neuro-fuzzy techniques in combination with statistical methods may offer medical research and medical applications a useful combination of methods.

Place, publisher, year, edition, pages
2006. p. 67-72
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-6909OAI: oai:DiVA.org:mdh-6909DiVA, id: diva2:236919
Conference
23rd Annual Workshop of the Swedish Artificial Intelligence Society (SAIS) Umeå, May 10-12, 2006
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2015-09-15Bibliographically approved

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Begum, ShahinaFunk, Peter

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