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Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes. / Tyulkova, Tatyana; Chernavin, Pavel; Chernavin, Nikolai et al.
In: Studies in Health Technology and Informatics, Vol. 295, 29.06.2022, p. 152-156.

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@article{1ac400dc8e53423cba5afb2025e4c554,
title = "Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes",
keywords = "committee machine, machine learning, tuberculosis",
author = "Tatyana Tyulkova and Pavel Chernavin and Nikolai Chernavin and Yuri Chugaev and Igor Chernyaev",
year = "2022",
month = jun,
day = "29",
doi = "10.3233/SHTI220684",
language = "English",
volume = "295",
pages = "152--156",
journal = "Studies in Health Technology and Informatics",
issn = "0926-9630",
publisher = "IOS Press",

}

RIS

TY - JOUR

T1 - Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes

AU - Tyulkova, Tatyana

AU - Chernavin, Pavel

AU - Chernavin, Nikolai

AU - Chugaev, Yuri

AU - Chernyaev, Igor

PY - 2022/6/29

Y1 - 2022/6/29

KW - committee machine

KW - machine learning

KW - tuberculosis

UR - http://www.scopus.com/inward/record.url?scp=85133252814&partnerID=8YFLogxK

U2 - 10.3233/SHTI220684

DO - 10.3233/SHTI220684

M3 - Article

C2 - 35773830

AN - SCOPUS:85133252814

VL - 295

SP - 152

EP - 156

JO - Studies in Health Technology and Informatics

JF - Studies in Health Technology and Informatics

SN - 0926-9630

ER -

ID: 30538411