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Journal Article

Matchings and decision trees for determining optimal therapy

Communications in Computer and Information Science (2014) 436 101-110
DOI: 10.1007/978-3-319-12580-0_10
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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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Korepanova, N., Kuznetsov, S. O., & Karachunskiy, A. I. (2014). Matchings and decision trees for determining optimal therapy. Communications in Computer and Information Science, 436, 101–110. https://doi.org/10.1007/978-3-319-12580-0_10

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