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International Conference on Analysis of Images, Social Networks and Texts

AIST 2014: Analysis of Images, Social Networks and Texts pp 101–110Cite as

Matchings and Decision Trees for Determining Optimal Therapy

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 436))

Abstract

An approach to the study of different types of treatments in subgroups is proposed. This approach is based on matching algorithms and decision trees. An application to the data on children with acute lymphoblastic leukaemia is considered.

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Author information

Authors and Affiliations

  1. School of Applied Mathematics and Information Science, National Research University Higher School of Economics, Moscow, Russia

    Natalia Korepanova & Sergei O. Kuznetsov

  2. Research and Clinical Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia

    Alexander I. Karachunskiy

Authors
  1. Natalia Korepanova
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  2. Sergei O. Kuznetsov
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  3. Alexander I. Karachunskiy
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Corresponding author

Correspondence to Natalia Korepanova .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  2. Krasovsky Inst. of Math. and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  3. Université catholique de Louvain, Moscow, Russia

    Alexander Panchenko

  4. University of Wolverhampton, Wolverhampton, United Kingdom

    Natalia Konstantinova

  5. National Research University, Moscow, Russia

    Rostislav E. Yavorsky

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© 2014 Springer International Publishing Switzerland

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Korepanova, N., Kuznetsov, S.O., Karachunskiy, A.I. (2014). Matchings and Decision Trees for Determining Optimal Therapy. In: Ignatov, D., Khachay, M., Panchenko, A., Konstantinova, N., Yavorsky, R. (eds) Analysis of Images, Social Networks and Texts. AIST 2014. Communications in Computer and Information Science, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-319-12580-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-12580-0_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12579-4

  • Online ISBN: 978-3-319-12580-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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