Artificial intelligence in the field of information support of emergencies (literature review)

Author:

Chernov K. A.1ORCID

Affiliation:

1. D.I. Mikhailik Civil defense academy of EMERCOM of Russia

Abstract

Relevance. Artificial intelligence is one of the fastest growing areas in the field of computer technology. Intention is to provide an overview of modern artificial intelligence technologies applied in various branches of Safety in Emergency Situations and summarize modern emergency management systems. Methodology. The object of the study was research on safety in emergency situations, presented in the global stream of scientific articles published in 2005–2020 and indexed in the abstract-bibliographic databases Scopus and the Russian Science Citation Index. Results and discussion. A review of modern artificial intelligence technologies made it possible to create a generalized classification of its systems used in various branches of security in emergency situations, including for preventing the development of crisis situations, and to show the main examples of use in this branch of knowledge. Conclusion. A promising direction in the use of AI systems is the classification of texts, in particular, scientific articles and other specialized texts on a specific research topic, which can be carried out using machine learning methods. An important role is given to text pre-processing technologies, or tokenization.

Publisher

NRCERM EMERCOM of Russia

Subject

Psychiatry and Mental health,Public Health, Environmental and Occupational Health,Clinical Psychology,Emergency Medicine,Emergency Medical Services

Reference21 articles.

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2. Borisov L.A., Ivchenko A.YU., Mitin N.A., Orlov YU.N. Tematicheskaya klassifikaciya tekstov s pomoshch’yu spektral’nyh portretov [Thematic classification of texts using spectral portraits]. Preprinty IPM im. M.V. Keldysha [IPM M.V. Keldysh preprints]. 2017; (106):1–22. DOI: 10.20948/prepr-2017-106. (In Russ.)

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4. Danilov G.V., ZHukov V.V., Kulikov A.S. [et al.]. Sravnitel’nyj analiz statisticheskih metodov klassifikacii nauchnyh publikacij v oblasti mediciny [Comparative analysis of statistical methods for classifying scientific publications in the field of medicine]. Komp’yuternye issledovaniya i modelirovanie [Computer research and modeling]. 2020; 12(4):921–933. DOI: 10.20537/2076-7633-2020-12-4-921 -933. (In Russ.).

5. Evdokimov V.I., CHernov K.A. Medicina katastrof: ob”ekt izucheniya i naukometricheskij analiz otechestvennyh nauchnyh statej (2005–2017) [Disaster medicine: object of study and scientometric analysis of domestic scientific articles]. Mediko-biologicheskie i social’no-psihologicheskie problemy bezopasnosti v chrezvychajnyh situaciyah [Medical-biological and socio-psychological problems of safety in emergency situations]. 2018; (3):98–117. DOI: 10.25016/2541 -7487-2018-0-3-98-117. (In Russ.)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Disaster medicine: analysis of research papers by Russian investigators based on artificial intelligence methods (2005–2021);Medicо-Biological and Socio-Psychological Problems of Safety in Emergency Situations;2023-05-05

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