An approach to structure information regarding patient diagnostics in the form of taxonomy in management of mass casualty disasters
Закрыть
Articolul precedent
Articolul urmator
602 3
Ultima descărcare din IBN:
2023-10-06 12:38
SM ISO690:2012
GAINDRIC, Constantin, POPCOVA, Olga, PUIU, Sergiu, SECRIERU, Iulian, GUTULEAC, Elena, COJOCARU, Svetlana. An approach to structure information regarding patient diagnostics in the form of taxonomy in management of mass casualty disasters. In: International Conference on Intelligent Information Systems, Ed. 2020, 4-5 decembrie 2020, Chișinău. Chișinău: "VALINEX" SRL, 2020, pp. 75-82. ISBN 978-9975-68-415-6.
EXPORT metadate:
Google Scholar
Crossref
CERIF

DataCite
Dublin Core
International Conference on Intelligent Information Systems 2020
Conferința "International Conference on Intelligent Information Systems"
2020, Chișinău, Moldova, 4-5 decembrie 2020

An approach to structure information regarding patient diagnostics in the form of taxonomy in management of mass casualty disasters


Pag. 75-82

Gaindric Constantin1, Popcova Olga1, Puiu Sergiu2, Secrieru Iulian1, Gutuleac Elena1, Cojocaru Svetlana1
 
1 Vladimir Andrunachievici Institute of Mathematics and Computer Science,
2 Centrul Medical "ANAMARIA-MED" SRL
 
Proiecte:
 
Disponibil în IBN: 10 decembrie 2020


Rezumat

Processing of poorly structured data and knowledge remains very important, as processing methods greatly depend on the application domain. It is particularly difficult to provide activities with data, information and knowledge of good quality. This article presents main features of ill-structured problems, and describes the experience of structuring information regarding patient diagnostics in the form of taxonomy (based on vital and sonographic signs) in the process of management of mass casualty disasters. Using the described approach, during the working sessions of expert and "knowledge engineer" the task of acquisition and formalization of facts and decision rules was performed.

Cuvinte-cheie
ill-structured problems, knowledge acquisition, data structuration, taxonomy, mass casualty situation, sonographic diagnostics

Google Scholar Export

<meta name="citation_title" content="An approach to structure information regarding patient diagnostics in the form of taxonomy in management of mass casualty disasters">
<meta name="citation_author" content="Gaindric Constantin">
<meta name="citation_author" content="Popcova Olga">
<meta name="citation_author" content="Puiu Sergiu">
<meta name="citation_author" content="Secrieru Iulian">
<meta name="citation_author" content="Gutuleac Elena">
<meta name="citation_author" content="Cojocaru Svetlana">
<meta name="citation_publication_date" content="2020">
<meta name="citation_collection_title" content="International Conference on Intelligent Information Systems">
<meta name="citation_firstpage" content="75">
<meta name="citation_lastpage" content="82">
<meta name="citation_pdf_url" content="https://ibn.idsi.md/sites/default/files/imag_file/75-82_2.pdf">