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Dobývání znalostí v medicínských datech ADAMEK
Rauch, Jan ; Serrano, J.I. ; Tomečková, Marie ; Zvárová, Jana
Problems and experience related to data mining in medical data ADAMEK are described. Data ADAMEK concerns 1122 cardiologic patients. The information collected for each patient is stored in 951 attributes. Pre-processing of data resulted into set of 180 attributes. After getting first experience in mining pre-processed data, a system of more than 70 analytical questions was defined. The analytical questions can be (at least partly) solved by students teams within education process at the Faculty of Informatics and Statistics of University of Economics, Prague. Paper summarizes first experience concerning this approach.
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Prevention of Atherosclerosis in Women – Some Results from Outpatient Department in EuroMISE Centre
Tomečková, Marie ; Grünfeldová, H. ; Peleška, Jan ; Hanuš, P. ; Marušiaková, M.
By atherosclerosis are affected men and women too, but it is given much less attention to these diseases in women. In the outpatient department of EuroMISE Centre in Prague, more women then men were examined. Women were older, their risk profile (factors antropometric, clinical, socio-economic and laboratory) was some better then in men, but not near to optimal values. It is necessary to bring advance attention to the investigation, prevention and the treatment of risk factors of atherosclerosis in women.
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ECML/PKDD konference - výzva k analýze dat o rizikových faktorech aterosklerózy
Berka, P. ; Tomečková, Marie ; Rauch, J.
It becomes a good habit to organize a data mining cup, a competition or a challenge at machine learning or data mining conferences. The main idea of the Discovery Challenge organized at the European Conferences on Principles and Practice of Knowledge Discovery in Databases since 1999 was to encourage a collaborative research effort rather than a competition between data miners. Different data sets have been used for the challenges during the six years. The paper summarizes out experience gained when organizing and evaluating the challenge on the atherosclerosis risk factor data.
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