Abstract
The paper presents the main research results in the area of data mining application to medicine. We propose a new information technology of data mining for different classes of biomedical images based on the methodology of diagnostically relevant information selection and creation of informative characteristics. Application of Big Data technology in proposed systems of medical diagnostics has allowed to improve the learning set quality and reduce the classification error. Based on these results, the conclusion is made, that the usage of many heterogeneous sources of diagnostic information made it possible to improve the overall quality of the diagnostics.
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Nataly Yu. Ilyasova (born 1966), graduated with honors from S.P. Korolyov Samara State Aerospace University (SSAU) (1991). She received her PhD (1997) and DSc (2015) in Technical sciences. At present, she is a senior researcher at the Image Processing Systems Institute of the Russian Academy of Sciences, and holding a part-time position of Associate Professor at SSAU’s Technical Cybernetics subdepartment. The area of interests includes digital signals and image processing, pattern recognition and artificial intelligence, biomedical imaging and analysis. She’s list of publications contains more than 100 scientific papers, including 35 articles and 3 monographs published with coauthors.
Alexander Victorovich Kupriyanov (born 1978) graduated with honors from Samara State Aerospace University (SSAU) (2001). Candidate’s degree in Technical Sciences (2004) and Doctor of Engineering Science (2013). Currently, Senior Researcher at the Image Processing Systems Institute, Russian Academy of Sciences, and part-time position as Associate Professor at SSAU’s sub-department of Technical Cybernetics. Areas of interest: digital signals and image processing, pattern recognition and artificial intelligence, nanoscale image analysis and understanding, biomedical imaging and analysis. More than 90 scientific papers, including 42 published articles and 2 monographs.
Rustam Aleksandrovich Paringer (born 1990) received Master’s degree in Applied Mathematics and Informatics from Samara State Aerospace University (2013). Teaching assistant of the Technical Cybernetics Department and junior researcher of Samara University, intern researcher of IPSI RAS–Branch of the FSRC “Crystallography and Photonics”. Research interests are currently focused on computer image processing, pattern recognition and data mining.
Dmitriy Victorovich Kirsh (born 1990), graduated (2014) with Master’s degree in Applied Mathematics and Informatics from Samara State Aerospace University. At present, he is a postgraduate student of Samara University, and holding a part-time position of a junior researcher of IPSI RAS–Branch of the FSRC “Crystallography and Photonics”. The area of interests includes digital image processing, pattern recognition, methods of mathematical formulation and comparison of crystal lattices, classification of crystal lattices.
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Ilyasova, N., Kupriyanov, A., Paringer, R. et al. Particular Use of BIG DATA in Medical Diagnostic Tasks. Pattern Recognit. Image Anal. 28, 114–121 (2018). https://doi.org/10.1134/S1054661818010066
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DOI: https://doi.org/10.1134/S1054661818010066