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Studies in Health Technology and Informatics|June 29, 1999
Population size and quality in genetics-based rule learning from medical dataJ Laurikkala, M JuholaComputer Methods and Programs in Biomedicine|June 9, 1998
A genetic-based machine learning system to discover the diagnostic rules for female urinary incontinenceJ Laurikkala, M JuholaStudies in Health Technology and Informatics|February 24, 2001
Nearest neighbour classification with heterogeneous proximity functionsJ Laurikkala, M JuholaStudies in Health Technology and Informatics|December 8, 1996
Parameter evaluation of the differential diagnosis of female urinary incontinence for the construction of an expert systemJ Laurikkala, M Juhola, J Penttinen, et al.The Annals of Otology, Rhinology, and Laryngology|October 20, 1999
Discovering diagnostic rules from a neurotologic database with genetic algorithmsE Kentala, J Laurikkala, I Pyykkö, et al.Methods of Information in Medicine|August 4, 1999
Comparison of genetic algorithms and other classification methods in the diagnosis of female urinary incontinenceJ Laurikkala, M Juhola, S Lammi, et al.Studies in Health Technology and Informatics|March 21, 2000
Treatment of missing values with imputation for the analysis of otologic dataJ Laurikkala, E Kentala, M Juhola, et al.Studies in Health Technology and Informatics|October 18, 2001
On classification capability of neural networks: a case study with otoneurological dataM Juhola, K Viikki, J Laurikkala, et al.International Journal of Medical Informatics|September 9, 2000
Usefulness of imputation for the analysis of incomplete otoneurologic dataJ Laurikkala, E Kentala, M Juhola, et al.Acta Oto-Laryngologica|September 9, 1999
Otoneurological expert system for vertigoE Kentala, I Pyykkö, Y Auramo, et al.Pageof 13