dc.contributor | ZAHARIA, Gabriel | |
dc.contributor.author | VIERU, Mihai | |
dc.contributor.author | POLISCIUC, Vlad | |
dc.contributor.author | GLIGA, Daniela | |
dc.contributor.author | GREBENNICOVA, Ecaterina | |
dc.contributor.author | ZAGORODNIUC, Anastasia | |
dc.date.accessioned | 2024-10-18T07:09:46Z | |
dc.date.available | 2024-10-18T07:09:46Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | VIERU, Mihai; Vlad POLISCIUC; Daniela GLIGA; Ecaterina GREBENNICOVA and Anastasia ZAGORODNIUC. Domain-specific language for analyzing medical results. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students, Universitatea Tehnică a Moldovei, 27-29 martie 2024. Chișinău, 2024, vol. 2, pp. 868-872. ISBN 978-9975-64-458-7, ISBN 978 9975-64-460-0 (Vol.2). | en_US |
dc.identifier.isbn | 978-9975-64-458-7 | |
dc.identifier.isbn | 978 9975-64-460-0 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/28169 | |
dc.description.abstract | This article delves into the potential benefits that a Domain-Specific Language (DSL) could bring to the medical field. It highlights how a DSL could enhance the analysis of medical results by offering greater precision, quicker analysis times, and lower chances of mistakes. Furthermore, it elaborates on the potential for DSLs to integrate seamlessly with existing medical software systems, enhancing interoperability and data sharing across platforms. Additionally, it points out the advantages of using a DSL for data management tasks such as gathering, updating, and maintaining records about patients’ illnesses, enabling healthcare professionals to access and analyze critical information with ease. The utilization of DSLs could also foster a more personalized approach to patient care, allowing for treatments and medical advice to be tailored more accurately to individual patient profiles. Lastly, the article speculates on the future role of DSL in medicine, emphasizing its ongoing contribution to the interpretation and analysis of medical data, and predicts a significant shift in how medical professionals interact with technology, ultimately leading to more efficient and effective patient care. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universitatea Tehnică a Moldovei | en_US |
dc.relation.ispartofseries | Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students: Chişinău, 27-29 martie 2024. Vol. 2; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | health | en_US |
dc.subject | data management | en_US |
dc.subject | analysis | en_US |
dc.subject | interoperability | |
dc.title | Domain-specific language for analyzing medical results | en_US |
dc.type | Article | en_US |
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