This document is also available as a MS-Word Document Analyzing back pains with BayMiner If you are a practising doctor doing research work and have to manage small quantities of multi-dimensional and poor quality data, you really can see the advantages of BayMiner. The chances are that you, to save time, want an analysis package, which offers maximum flexibility in selecting tools as well as the ability to produce a small variety of graphs for reports. And, above all, a package, which allows you to get on with the job without having to spend days or even weeks in learning the features of a program designed with researchers in mind. If any of this applies to you, you may be interested in reading about the uses Professor Jaro Karppinen has found for BayMiner. Professor Jaro Karppinen is a senior lecturer in Physical Medicine and Rehabilitation, heading a research team at Oulu University. Funded by the Finnish Academy he and his colleagues are studying the etiology of low back pain, and the links between low back pain and intervertebral disc degeneration. Some months ago, after trying out a number of alternative programs, Professor Karppinen selected BayMiner, initially to be able to rapidly find the essential co-occurrence in tens of variables. The analysis method proved its worth very early on, allowing him to do more than just look at statistics about the data. Each knowledge model produced by BayMiner contained interesting new findings as well as revealed hidden, complex phenomenon through coloured gradients in its 3-D, axleless "dot-cloud". The complete set of data resident in a number of databases was analysed by creating new combinations for final "tweaking" with BayMiner. Producing distribution graphs was also very easy, making maximum use of one of the strengths of BayMiner: the supervised modelling facility, which allows a single variable to be analysed regarding co-occurrences with all the other ones. The first results are already in publishing phase. "Of all the analysis packages I looked at, BayMiner is the only one that can do rapid high quality co-occurrence analysis of tens or even hundreds of variables." Professor Jaro Karppinen has since switched to BayMiner and now uses BayMiner for a variety of purposes. He is the central contact point in Finland for doctors and other researchers interested in finding out more about spinal diseases. Using BayMiner, he can quickly access relevant information from his knowledge models, and within seconds interpreter out new knowledge he needs in his research work.