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Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees. / Veselsky, Artem; Pavel, Gavrilov; Ivan, Baulin; Belik, Vitaly; Lavrova, Anastasia.

ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc., 2021. p. 135-136.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Veselsky, A, Pavel, G, Ivan, B, Belik, V & Lavrova, A 2021, Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees. in ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc., pp. 135-136, 6th International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2021, Oita, Kyushu, Japan, 25/11/21. https://doi.org/10.1109/ICIIBMS52876.2021.9651602

APA

Veselsky, A., Pavel, G., Ivan, B., Belik, V., & Lavrova, A. (2021). Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees. In ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences (pp. 135-136). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIIBMS52876.2021.9651602

Vancouver

Veselsky A, Pavel G, Ivan B, Belik V, Lavrova A. Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees. In ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc. 2021. p. 135-136 https://doi.org/10.1109/ICIIBMS52876.2021.9651602

Author

Veselsky, Artem ; Pavel, Gavrilov ; Ivan, Baulin ; Belik, Vitaly ; Lavrova, Anastasia. / Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees. ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 135-136

BibTeX

@inproceedings{61d1edfc0f3a4daa9bb2626d1b0bf153,
title = "Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees",
abstract = "We have investigated the importance of various lung characteristics extracted from computer tomography (CT) in combination with other factors for the outcome of the endobronchial valve (BV) therapy in patients with destructive pulmonary pathology due to tuberculosis. We have devised prognostic models on the basis of the decision tree method implemented in R programming language. This allowed us to reveal key characteristics and interactions between them as well as to estimate the success of the endobronchial valve treatment. These models make predictions for changes in the lobe volume and cavity closure at BV therapy. We have found that pleural integrity is a good predictor of lobe volume reduction after BV treatment as well as lobe volume reduction during BV therapy is a prognostic marker for cavity's closure. ",
keywords = "collateral ventilation, decision tree models, endobronchial valve therapy, Tuberculosis",
author = "Artem Veselsky and Gavrilov Pavel and Baulin Ivan and Vitaly Belik and Anastasia Lavrova",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 6th International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2021 ; Conference date: 25-11-2021 Through 27-11-2021",
year = "2021",
doi = "10.1109/ICIIBMS52876.2021.9651602",
language = "English",
pages = "135--136",
booktitle = "ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees

AU - Veselsky, Artem

AU - Pavel, Gavrilov

AU - Ivan, Baulin

AU - Belik, Vitaly

AU - Lavrova, Anastasia

N1 - Publisher Copyright: © 2021 IEEE.

PY - 2021

Y1 - 2021

N2 - We have investigated the importance of various lung characteristics extracted from computer tomography (CT) in combination with other factors for the outcome of the endobronchial valve (BV) therapy in patients with destructive pulmonary pathology due to tuberculosis. We have devised prognostic models on the basis of the decision tree method implemented in R programming language. This allowed us to reveal key characteristics and interactions between them as well as to estimate the success of the endobronchial valve treatment. These models make predictions for changes in the lobe volume and cavity closure at BV therapy. We have found that pleural integrity is a good predictor of lobe volume reduction after BV treatment as well as lobe volume reduction during BV therapy is a prognostic marker for cavity's closure.

AB - We have investigated the importance of various lung characteristics extracted from computer tomography (CT) in combination with other factors for the outcome of the endobronchial valve (BV) therapy in patients with destructive pulmonary pathology due to tuberculosis. We have devised prognostic models on the basis of the decision tree method implemented in R programming language. This allowed us to reveal key characteristics and interactions between them as well as to estimate the success of the endobronchial valve treatment. These models make predictions for changes in the lobe volume and cavity closure at BV therapy. We have found that pleural integrity is a good predictor of lobe volume reduction after BV treatment as well as lobe volume reduction during BV therapy is a prognostic marker for cavity's closure.

KW - collateral ventilation

KW - decision tree models

KW - endobronchial valve therapy

KW - Tuberculosis

UR - http://www.scopus.com/inward/record.url?scp=85124353268&partnerID=8YFLogxK

U2 - 10.1109/ICIIBMS52876.2021.9651602

DO - 10.1109/ICIIBMS52876.2021.9651602

M3 - Conference contribution

AN - SCOPUS:85124353268

SP - 135

EP - 136

BT - ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2021

Y2 - 25 November 2021 through 27 November 2021

ER -

ID: 96725522