Публікація: Mobile Expert System for Diagnostic Human State in Emergency Situations
dc.contributor.author | Kuzomin, O. | |
dc.contributor.author | Dudka, O. | |
dc.contributor.author | Vasylenko, O. | |
dc.contributor.author | Shylo, R. | |
dc.contributor.author | Lyashenko, V. | |
dc.date.accessioned | 2020-09-13T19:41:25Z | |
dc.date.available | 2020-09-13T19:41:25Z | |
dc.date.issued | 2020 | |
dc.description.abstract | An obligatory stage of any purposeful activity in emergency situations (emergency) is to make decisions on elimination of the emergency consequences and assistance to the victims, and if necessary, their evacuation. Not only the wrong but also the ineffective decisions could lead to human losses or irrational use of financial, labor, environmental, energy and other resources. In this regard, the problem of developing a scientific methodology for making effective decisions is one of the pressing scientific problems. The purpose of the study is to enhance the first “rescue-victim” interaction when the rescuer or doctor asks the patient specific questions to make decisions. The biggest cost is the waste of time, which can be significantly reduced by using a chat bot conversation with emergency victim. | uk_UA |
dc.identifier.citation | Kuzomin O., Dudka O., Vasylenko O., Shylo R., Lyashenko V. Mobile Expert System for Diagnostic Human State in Emergency Situations // International Journal of Advanced Trends in Computer Science and Engineering. – 2020. – 9(4). – P. 6485-6489. | uk_UA |
dc.identifier.issn | 2278-3091 | |
dc.identifier.uri | http://openarchive.nure.ua/handle/document/13268 | |
dc.language.iso | en | uk_UA |
dc.publisher | WARSE | uk_UA |
dc.subject | Emergency | uk_UA |
dc.subject | Mobile Expert System | uk_UA |
dc.title | Mobile Expert System for Diagnostic Human State in Emergency Situations | uk_UA |
dc.type | Article | uk_UA |
dspace.entity.type | Publication |
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