Výsledky vyhledávání - "Funkner, Anastasia A."

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Negation Detection for Clinical Text Mining in Russian

Autor: Funkner, Anastasia, Balabaeva, Ksenia, Kovalchuk, Sergey

Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a module

Externí odkaz: http://arxiv.org/abs/2004.04980

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Automated Spelling Correction for Clinical Text Mining in Russian

Autor: Balabaeva, Ksenia, Funkner, Anastasia, Kovalchuk, Sergey

The main goal of this paper is to develop a spell checker module for clinical text in Russian. The described approach combines string distance measure algorithms with technics of machine learning embedding methods. Our overall precision is 0.86, lexi

Externí odkaz: http://arxiv.org/abs/2004.04987

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Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: application to evolutionary modeling of clinical pathways

Autor: Funkner, Anastasia A., Yakovlev, Aleksey N., Kovalchuk, Sergey V.

The paper proposes and investigates an approach for surrogate-assisted performance prediction of data-driven knowledge discovery algorithms. The approach is based on the identification of surrogate models for prediction of the target algorithm's qual

Externí odkaz: http://arxiv.org/abs/2004.01123

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A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification

Autor: Kovalchuk, Sergey V., Metsker, Oleg G., Funkner, Anastasia A., Kisliakovskii, Ilia O., Nikitin, Nikolay O., Kalyuzhnaya, Anna V., Vaganov, Danila A., Bochenina, Klavdiya O.

Complex systems' modeling and simulation are powerful ways to investigate a multitude of natural phenomena providing extended knowledge on their structure and behavior. However, enhanced modeling and simulation require integration of various data and

Externí odkaz: http://arxiv.org/abs/1809.04656

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Simulation of Patient Flow in Multiple Healthcare Units using Process and Data Mining Techniques for Model Identification

Autor: Kovalchuk, Sergey V., Funkner, Anastasia A., Metsker, Oleg G., Yakovlev, Aleksey N.

Introduction: An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for comb

Externí odkaz: http://arxiv.org/abs/1702.07733

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