• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Biomarkers study to improve Machine Learning prediction of long-term risk of myocardial infarction, stroke, and cardiac death
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2028
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Biomarkers study to improve Machine Learning prediction of long-term risk of myocardial infarction, stroke, and cardiac death

.
K.M. Burkin, A.V. Kirdeev, Nikolaev K. Y., Kovalenko L. V., Vorobiev A. S., M.S. Poptsova
Language: English
Keywords: Machine learning methodscardiovascular disease

In book

Proceedings of 11th Moscow Conference on Computational Molecular Biology MCCMB'23
IITP RAS, 2023.
Similar publications
Forecasting the Birth Rate in Russia Based on Google Trends Search Query Statistics
Liliya А. Rodionova, Elena D. Kopnova, Kamalendinova S. et al., Population and Economics 2026 No. 10(2) P. 92–114
This article proposes an approach to forecasting fertility using Google Trends search query statistics. Unlike existing studies on fertility forecasting, this paper introduces a method for aggregating thematic search queries using machine learning techniques, reducing the dimensionality of search queries through principal component analysis, and incorporating a lag structure of search queries ranging from 1 ...
Added: April 7, 2026
Применение моделей машинного обучения для многомерного среднесрочного прогнозирования стоимости акций
Sizykh N., Кудрявцева Н. С., Управление большими системами: сборник трудов 2025 № 118 С. 250–285
Numerous studies in the field of forecasting securities prices, particularly stock prices, are aimed at finding more accurate and effective models. However, attention to multivariate forecasting, which allows for more accurate forecasts, remains underappreciated, as its implementation requires a significant increase in computing resources. Therefore, the selection of more simplified yet effective models is relevant. ...
Added: February 3, 2026
A Clustering Model for Stocks that Considers Hidden Dynamics and Price Trajectory
Morychev G., Sizykh D., Sizykh N., IEEE Access 2025 Vol. 13 P. 213194–213210
One of the main tools for analyzing large volumes of financial data is the use of clustering methods and models, which allow the identification of various patterns. This study examines the problem of clustering time series that reflect the behavior of prices, yields, modes, trends, and a number of related stock indicators. The relevance and ...
Added: February 3, 2026
Метод масштабирования признаков для потоковой интеллектуальной образовательной системы
Ермаков С. Р., Zykov S. V., Научно-технический вестник Поволжья 2025 № 2 С. 118–122
В данной научной работе авторами предлагается метод масштабирования признаков для потоковой интеллектуальной образовательной системы. Описано функционирование метода и приведена схема. Проведено экспериментальное исследование метода, результаты которого отражены в виде графика. Полученные выводы подтверждают эффективность предложенного метода по сравнению с рассмотренными аналогами. ...
Added: March 14, 2025
Comparison of Machine Learning Methods for IoT and IIoT Traffic Prediction
Osovsky A., Kutuzov D., Starov D. et al., , in: 2024 International Seminar on Electron Devices Design and Production (SED).: IEEE, 2024. P. 1–6.
Added: February 5, 2025
Моделирование риска дефолта российских банков, 2015–2020 гг.
Shchepeleva M., Тусипкалиев К., Столбов М. И., Экономическая наука современной России 2024 № 2(105) С. 101–124
This paper is devoted to modeling the probability of default of Russian banks in 2015–2020. There are relatively few studies on defaults of Russian banks after 2015, and our work intends to partly fill this gap. The purpose of this research is to determine the main variables which significantly impact the risk of default of ...
Added: September 5, 2024
Репродуктивные намерения россиян в 2022—2023 гг.: роль субъективных факторов
Vakulenko E., Gorskiy D., Кондратьева В. П. et al., Вопросы экономики 2024 № 9 С. 138–157
This study examines how the reproductive intentions of Russians changed during the socio-economic shocks that arose during the Russian-Ukrainian conflict in 2022-2023. The study used data from a representative survey of 7,967 respondents conducted in May 2023. We used multiple-choice models to identify the factors that influenced changes in fertility decisions. Most individuals who had ...
Added: August 14, 2024
Rehabilitating Homeless: Dataset and Key Insights
Bykova A., Filippov N., Yamshchikov I. P., Proceedings of the AAAI Conference on Artificial Intelligence 2023 P. 14136–14143
This paper presents a large anonymized dataset of homelessness alongside insights into the data-driven rehabilitation of homeless people. The dataset was gathered by a large non- profit organization working on rehabilitating the homeless for twenty years. This is the first dataset that we know of that contains rich information on thousands of homeless individuals seeking ...
Added: September 10, 2023
Optimization of Characteristics for a Stochastic Agent-Based Model of Goods Exchange with the Use of Parallel Hybrid Genetic Algorithm
Andranik S. Akopov, Armen L. Beklaryan, Zhukova A., Cybernetics and Information Technologies 2023 Vol. 23 No. 2 P. 87–104
A novel approach to modeling stochastic processes of goods exchange between multiple agents is presented, considering the possibility of optimizing the environment’s characteristics and individual decision-making strategies. The proposed model makes it possible to form optimal states when choosing the moments of concluding barter and monetary transactions at the individual level of each agent maximizing ...
Added: June 8, 2023
Economic policy uncertainty and bankruptcy filings
Fedorova E., Ledyaeva S., Drogovoz P. et al., International Review of Financial Analysis 2022 Vol. 82 Article 102174
Applying machine learning techniques to predict bankruptcy in the sample of French, Italian, Russian and Spanish firms, the study demonstrates that the inclusion of economic policy uncertainty (EPU) indicator into bankruptcy prediction models notably increases their accuracy. This effect is more pronounced when we use novel Twitter-based version of EPU index instead of original news-based index. We further ...
Added: January 26, 2023
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit