In our paper, we continue with our research and in cooperation with Faculty of Medicine and Research Institute called Academy. In this paper, we would like to present our knowledge about the identification of KDD (Knowledge discovery in database) problems from medical data. Our research is focused on medical data from the field of cardiology. We are drawing attention to the main issues like identifying the diagnosis or multiple diagnoses of the patient, identification of the influence of the medical parameters on the patient’s prognosis and identifying the parameters of a particular diagnosis. We have used various data mining method to achieve the proper results. In our paper, we present the best results that are representing our research.
CITATION STYLE
Nemethova, A., Nemeth, M., Michalconok, G., & Bohm, A. (2019). Identification of KDD problems from medical data. In Advances in Intelligent Systems and Computing (Vol. 985, pp. 191–199). Springer Verlag. https://doi.org/10.1007/978-3-030-19810-7_19
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