kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университетkaz29-171Research ArticleФИЗИКО-МАТЕМАТИЧЕСКИЕ И ТЕХНИЧЕСКИЕ НАУКИPHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCESИЗВЛЕЧЕНИЕ ОТНОШЕНИЙ КЛИНИЧЕСКИХ ТЕКСТОВRELATION EXTRACTION OF CLINICAL TEXTSПакА. А.PakА. А.

к.т.н., ассистент профессора

Almaty

ДжаксылыковаА. Б.JaxylykovaA. B.

докторант

Almaty

ЮсуповаЗ. М.YussupovaZ. M.

магистрант

ЖаханА. А.ZhakhanA. A.

магистрант

Almaty

ЕримбетоваА. С.YerimbetovaA. S.

магистрант

Almaty

БексауытоваА. А.BexauytovaA. A.

магистрант

Almaty

ШакеноваЖ. А.ShakenovaZ. A.

врач-кардиолог, областной кардиологический центр

г. Талдыкорган

Taldykorgan

АО "КБТУ"КазахстанInstitute of Information and Computational TechnologiesKazakhstanКазахский Национальный университет им. аль-Фараби, Институт информационных и вычислительных технологийКазахстанInstitute of Information and Computational TechnologiesKazakhstanАО "КБТУ"КазахстанKazakh-British Technical UniversityKazakhstanRegional Cardiology CenterKazakhstan202008112021172189194Copyright © Пак А.А., Джаксылыкова А.Б., Юсупова З.М., Жахан А.А., Еримбетова А.С., Бексауытова А.А., Шакенова Ж.А., 20212021Пак А.А., Джаксылыкова А.Б., Юсупова З.М., Жахан А.А., Еримбетова А.С., Бексауытова А.А., Шакенова Ж.А.Pak А.А., Jaxylykova A.B., Yussupova Z.M., Zhakhan A.A., Yerimbetova A.S., Bexauytova A.A., Shakenova Z.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/171

Цифровая модернизация системы здравоохранения является глобальной тенденцией в развитии отрасли; это связано с возможностью оцифровки данных о состоянии здоровья пациентов. Накопленные данные могут быть обработаны и проанализированы для улучшения ухода за пациентами и диагностики. В данной статье предлагается подход к структурированию медицинских текстовых заметок. Предлагается фреймворк для извлечения отношений клинических заметок, а также численные эксперименты по построению модели семантического синтаксического анализатора.

Digital modernization of the healthcare system is a global trend in the development of the industry; it is associated with the possibility of digitizing patient healthcare data. The accumulated data may be processed and analyzed to improve patient care and diagnosis. This paper proposes an approach to structuring medical text notes. A framework for relation extraction is proposed for notes by clinicians, as well as numerical experiments to construct a model of the semantic parser.

семантическая ролевая маркировкаизвлечение знанийязыковая модель клинических заметокядерный трюкпрогнозная медицинаSemantic role labelingKnowledge extractionLanguage model of clinical notesKernel trickPredictive medicineReferencesThe Digital Universe: Driving Data Growth in Healthcare. https://www.cycloneinteractive.com/cyclone/assets/File/digital-universe-healthcare-vertical-report-ar.pdf.The Digital Universe: Driving Data Growth in Healthcare. https://www.cycloneinteractive.com/cyclone/assets/File/digital-universe-healthcare-vertical-report-ar.pdf.Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., ... & Sundberg, P. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 1(1), 18.Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., ... & Sundberg, P. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 1(1), 18.Makary, M. A., & Daniel, M. (2016). 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The authors declare that there are no conflicts of interest present.