Standard

Analysis of Standard Clustering Algorithms for Grouping MEDLINE Abstracts into Evidence-Based Medicine Intervention Categories. / Dobrynin, Vladimir; Balykina, Yulia; Kamalov, Michael.

2015 INTERNATIONAL CONFERENCE "STABILITY AND CONTROL PROCESSES" IN MEMORY OF V.I. ZUBOV (SCP). ред. / LA Petrosyan; AP Zhabko. Institute of Electrical and Electronics Engineers Inc., 2015. стр. 555-557.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Dobrynin, V, Balykina, Y & Kamalov, M 2015, Analysis of Standard Clustering Algorithms for Grouping MEDLINE Abstracts into Evidence-Based Medicine Intervention Categories. в LA Petrosyan & AP Zhabko (ред.), 2015 INTERNATIONAL CONFERENCE "STABILITY AND CONTROL PROCESSES" IN MEMORY OF V.I. ZUBOV (SCP). Institute of Electrical and Electronics Engineers Inc., стр. 555-557, III Международная конференция "Устойчивость и процессы управления", посвященная 85-летию со дня рождения чл.-корр. РАН В.И. Зубова, St. Petersburg, Российская Федерация, 5/10/15. https://doi.org/10.1109/SCP.2015.7342223, https://doi.org/10.1109/SCP.2015.7342223

APA

Dobrynin, V., Balykina, Y., & Kamalov, M. (2015). Analysis of Standard Clustering Algorithms for Grouping MEDLINE Abstracts into Evidence-Based Medicine Intervention Categories. в LA. Petrosyan, & AP. Zhabko (Ред.), 2015 INTERNATIONAL CONFERENCE "STABILITY AND CONTROL PROCESSES" IN MEMORY OF V.I. ZUBOV (SCP) (стр. 555-557). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCP.2015.7342223, https://doi.org/10.1109/SCP.2015.7342223

Vancouver

Dobrynin V, Balykina Y, Kamalov M. Analysis of Standard Clustering Algorithms for Grouping MEDLINE Abstracts into Evidence-Based Medicine Intervention Categories. в Petrosyan LA, Zhabko AP, Редакторы, 2015 INTERNATIONAL CONFERENCE "STABILITY AND CONTROL PROCESSES" IN MEMORY OF V.I. ZUBOV (SCP). Institute of Electrical and Electronics Engineers Inc. 2015. стр. 555-557 https://doi.org/10.1109/SCP.2015.7342223, https://doi.org/10.1109/SCP.2015.7342223

Author

Dobrynin, Vladimir ; Balykina, Yulia ; Kamalov, Michael. / Analysis of Standard Clustering Algorithms for Grouping MEDLINE Abstracts into Evidence-Based Medicine Intervention Categories. 2015 INTERNATIONAL CONFERENCE "STABILITY AND CONTROL PROCESSES" IN MEMORY OF V.I. ZUBOV (SCP). Редактор / LA Petrosyan ; AP Zhabko. Institute of Electrical and Electronics Engineers Inc., 2015. стр. 555-557

BibTeX

@inproceedings{5582e0eed6c54bfc8131aed42e16428a,
title = "Analysis of Standard Clustering Algorithms for Grouping MEDLINE Abstracts into Evidence-Based Medicine Intervention Categories",
abstract = "The paper describes a process of clustering of article abstracts, taken from the largest bibliographic life sciences and biomedical information MEDLINE database into categories that correspond to types of medical interventions - types of patient treatments. Experiments were carried out to evaluate the quality of clustering for the following algorithms: K-means; K- means++; Hierarchical clustering, SIB (Sequential information bottleneck) together with the LSA (Latent Semantic Analysis) methods and MI (Mutual Information) which allow selecting feature vectors. Best results of clustering were achieved by K- means++ together with LSA then 210- dimensional space was chosen: Purity = 0.5719, Entropy = 1.3841, Normalized Entropy = 0.6299.",
author = "Vladimir Dobrynin and Yulia Balykina and Michael Kamalov",
year = "2015",
doi = "10.1109/SCP.2015.7342223",
language = "Английский",
isbn = "9781467376983",
pages = "555--557",
editor = "LA Petrosyan and AP Zhabko",
booktitle = "2015 INTERNATIONAL CONFERENCE {"}STABILITY AND CONTROL PROCESSES{"} IN MEMORY OF V.I. ZUBOV (SCP)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "Соединенные Штаты Америки",
note = "null ; Conference date: 05-10-2015 Through 09-10-2015",
url = "http://www.apmath.spbu.ru/scp2015/openconf.php",

}

RIS

TY - GEN

T1 - Analysis of Standard Clustering Algorithms for Grouping MEDLINE Abstracts into Evidence-Based Medicine Intervention Categories

AU - Dobrynin, Vladimir

AU - Balykina, Yulia

AU - Kamalov, Michael

PY - 2015

Y1 - 2015

N2 - The paper describes a process of clustering of article abstracts, taken from the largest bibliographic life sciences and biomedical information MEDLINE database into categories that correspond to types of medical interventions - types of patient treatments. Experiments were carried out to evaluate the quality of clustering for the following algorithms: K-means; K- means++; Hierarchical clustering, SIB (Sequential information bottleneck) together with the LSA (Latent Semantic Analysis) methods and MI (Mutual Information) which allow selecting feature vectors. Best results of clustering were achieved by K- means++ together with LSA then 210- dimensional space was chosen: Purity = 0.5719, Entropy = 1.3841, Normalized Entropy = 0.6299.

AB - The paper describes a process of clustering of article abstracts, taken from the largest bibliographic life sciences and biomedical information MEDLINE database into categories that correspond to types of medical interventions - types of patient treatments. Experiments were carried out to evaluate the quality of clustering for the following algorithms: K-means; K- means++; Hierarchical clustering, SIB (Sequential information bottleneck) together with the LSA (Latent Semantic Analysis) methods and MI (Mutual Information) which allow selecting feature vectors. Best results of clustering were achieved by K- means++ together with LSA then 210- dimensional space was chosen: Purity = 0.5719, Entropy = 1.3841, Normalized Entropy = 0.6299.

U2 - 10.1109/SCP.2015.7342223

DO - 10.1109/SCP.2015.7342223

M3 - статья в сборнике материалов конференции

SN - 9781467376983

SP - 555

EP - 557

BT - 2015 INTERNATIONAL CONFERENCE "STABILITY AND CONTROL PROCESSES" IN MEMORY OF V.I. ZUBOV (SCP)

A2 - Petrosyan, LA

A2 - Zhabko, AP

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 5 October 2015 through 9 October 2015

ER -

ID: 3983135