The Use of Model-Theoretical Methods for Automated Knowledge Extraction from Medical Texts

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

The paper is devoted to the application of model-theoretical methods for extraction of knowledge from medical texts and documents and its formal representation. The aim of the work is to automate the filling of knowledge bases of the IACPaaS platform using knowledge from texts of disease descriptions. IACPaaS is a cloud platform for the development, management and remote use of intelligent cloud services. The peculiarities of disease description texts are the presence of medical word terms (such as 'blood pressure') and the abundance of sentences with clauses and homogeneous sentence members. To solve the problem of knowledge extraction, methods of transforming natural language sentences into quantifier-free formulas of the first-order predicate logic are used. Knowledge extracted from texts is formalized in the form of sets of atomic sentences that form fragments of atomic diagrams of algebraic systems. Further, a knowledge tree is built from the fragments of atomic diagrams, which serves as an intermediate representation of knowledge for subsequent translation into the format of IACPaaS information resources. The software system allows medical workers to fill knowledge bases with descriptions of diseases in shorter time, and gives the opportunity to check the consistency of the obtained formal specifications automatically.

Язык оригиналаанглийский
Название основной публикации2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings
ИздательIEEE Computer Society
Страницы555-560
Число страниц6
ISBN (электронное издание)9781665414982
DOI
СостояниеОпубликовано - 30 июн 2021
Событие22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Aya, Altai Region, Российская Федерация
Продолжительность: 30 июн 20214 июл 2021

Серия публикаций

НазваниеInternational Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Том2021-June
ISSN (печатное издание)2325-4173
ISSN (электронное издание)2325-419X

Конференция

Конференция22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021
СтранаРоссийская Федерация
ГородAya, Altai Region
Период30.06.202104.07.2021

Предметные области OECD FOS+WOS

  • 2.02.IQ ИНЖЕНЕРИЯ, ЭЛЕКТРИЧЕСКАЯ И ЭЛЕКТРОННАЯ
  • 1.03.UH ФИЗИКА, АТОМНАЯ, МОЛЕКУЛЯРНАЯ И ХИМИЧЕСКАЯ
  • 1.03.SY ОПТИКА

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