Tatiana Tverdokhlib

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

E-mail: tanyamar82@gmail.com


Research Interests: Medical Informatics, Medical Image Computing


Tetiana Tverdokhlib graduated from Kharkiv National Medical University in 2005. She is a PhD student in Pediatrics at Kharkiv Medical Academia of Post-Graduate Education. Her current interests are reactive arthritis, pediatrics.

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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