Volodymyr Savvo

Work place: Pediatrics Department, Kharkiv Medical Academia of Post-Graduate Education, Kharkiv, 61176, Ukraine

E-mail: savvovm50@gmail.com


Research Interests: Medical Informatics, Medical Image Computing


Volodymyr Savvo graduated from Kharkiv National Medical University in 1974. He got his PhD in 1979. He obtained an academic title of the associate professor in 1990. Dr. Savvo has been the associate professor of Pediatrics Department at Kharkiv Medical Academia Post-Graduate Education. He has more than 300 scientific publications.

His research interests are pediatric cardiorheumatology, pediatric gastroenterology, reactive arthritis.

Author Articles
Hybrid Clustering-Classification Neural Network in the Medical Diagnostics of the Reactive Arthritis

By Yevgeniy V. Bodyanskiy Olena Vynokurova Volodymyr Savvo Tatiana Tverdokhlib Pavlo Mulesa

DOI: https://doi.org/10.5815/ijisa.2016.08.01, Pub. Date: 8 Aug. 2016

In the paper, the hybrid clustering-classification neural network is proposed. This network allows to increase a quality of information processing under the condition of overlapping classes due to the rational choice of learning rate parameter and introducing special procedure of fuzzy reasoning in the clustering-classification process, which occurs both with external learning signal (“supervised”), and without one (“unsupervised”). As similarity measure neighborhood function or membership one, cosine structures are used, which allow to provide a high flexibility due to self-learning-learning process and to provide some new useful properties. Many realized experiments have confirmed the efficiency of proposed hybrid clustering-classification neural network; also, this network was used for solving diagnostics task of reactive arthritis.

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