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Your search keyword '"Kochetov, Kirill"' showing total 15 results
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15 results on '"Kochetov, Kirill"'

1. Noise Masking Recurrent Neural Network for Respiratory Sound Classification

Author

Kochetov, Kirill, Putin, Evgeny, Balashov, Maksim, Filchenkov, Andrey, Shalyto, Anatoly, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Kůrková, Věra, editor, Manolopoulos, Yannis, editor, Hammer, Barbara, editor, Iliadis, Lazaros, editor, and Maglogiannis, Ilias, editor

Published
2018
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2. Wheeze Detection Using Convolutional Neural Networks

Author

Kochetov, Kirill, Putin, Evgeny, Azizov, Svyatoslav, Skorobogatov, Ilya, Filchenkov, Andrey, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Oliveira, Eugénio, editor, Gama, João, editor, Vale, Zita, editor, and Lopes Cardoso, Henrique, editor

Published
2017
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13. Population specific biomarkers of human aging:A big data study using South Korean, Canadian, and Eastern European patient populations

Author

Mamoshina, Polina, Kochetov, Kirill, Putin, Evgeny, Cortese, Franco, Aliper, Alexander, Lee, Won Suk, Ahn, Sung Min, Uhn, Lee, Skjodt, Neil, Kovalchuk, Olga, Scheibye-Knudsen, Morten, Zhavoronkov, Alex, Mamoshina, Polina, Kochetov, Kirill, Putin, Evgeny, Cortese, Franco, Aliper, Alexander, Lee, Won Suk, Ahn, Sung Min, Uhn, Lee, Skjodt, Neil, Kovalchuk, Olga, Scheibye-Knudsen, Morten, and Zhavoronkov, Alex

Abstract

Accurate and physiologically meaningful biomarkers for human aging are key to assessing antiaging therapies. Given ethnic differences in health, diet, lifestyle, behavior, environmental exposures, and even average rate of biological aging, it stands to reason that aging clocks trained on datasets obtained from specific ethnic populations are more likely to account for these potential confounding factors, resulting in an enhanced capacity to predict chronological age and quantify biological age. Here, we present a deep learning-based hematological aging clock modeled using the large combined dataset of Canadian, South Korean, and Eastern European population blood samples that show increased predictive accuracy in individual populations compared to population specific hematologic aging clocks. The performance of models was also evaluated on publicly available samples of the American population from the National Health and Nutrition Examination Survey (NHANES). In addition, we explored the association between age predicted by both population specific and combined hematological clocks and all-cause mortality. Overall, this study suggests (a) the population specificity of aging patterns and (b) hematologic clocks predicts all-cause mortality. The proposed models were added to the freely-available Aging.AI system expanding the range of tools for analysis of human aging.

Published
2018

15. Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations

Author

Mamoshina, Polina, primary, Kochetov, Kirill, additional, Putin, Evgeny, additional, Cortese, Franco, additional, Aliper, Alexander, additional, Lee, Won-Suk, additional, Ahn, Sung-Min, additional, Uhn, Lee, additional, Skjodt, Neil, additional, Kovalchuk, Olga, additional, Scheibye-Knudsen, Morten, additional, and Zhavoronkov, Alex, additional

Published
2018
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