Search Results for author: Aleksandr Nesterov

Found 3 papers, 2 papers with code

NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization

1 code implementation • 2 Jun 2022 • Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh

The symptom checking systems inquire users for their symptoms and perform a rapid and affordable medical assessment of their condition.

Reinforcement Learning (RL)

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RuMedBench: A Russian Medical Language Understanding Benchmark

2 code implementations • 17 Jan 2022 • Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh

The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named entity recognition) on a number of novel text sets.

Medical Diagnosis named-entity-recognition +5

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CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

no code implementations • 25 May 2021 • Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov

Analysis of chest CT scans can be used in detecting parts of lungs that are affected by infectious diseases such as COVID-19. Determining the volume of lungs affected by lesions is essential for formulating treatment recommendations and prioritizingpatients by severity of the disease.

Segmentation

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