activity
20172020
most citedNegation Detection for Clinical Text Mining in Russian

9 citations · 16 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2020★ 7 cited

Automated Spelling Correction for Clinical Text Mining in Russian

Ksenia Balabaeva, Anastasia Funkner, Sergey Kovalchuk

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 m…

cs.CL2020★ 9 cited

Negation Detection for Clinical Text Mining in Russian

Anastasia Funkner, Ksenia Balabaeva, Sergey Kovalchuk

Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cop…

cs.LG2020

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

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

The paper proposes and investigates an approach for surrogate-assisted performance prediction of data-driven knowledge discovery algorithms. The approach is based on the identifica…

cs.OH2018

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

Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner +5

Complex systems' modeling and simulation are powerful ways to investigate a multitude of natural phenomena providing extended knowledge on their structure and behavior. However, en…

cs.CY2017

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

Sergey V. Kovalchuk, Anastasia A. Funkner, Oleg G. Metsker +1

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 approa…