Editorial: Artificial intelligence solutions for global health and disaster response: challenges and opportunities

dc.contributor.authorChumachenko, Dmytro
dc.contributor.authorЧумаченко, Дмитро
dc.contributor.authorMorita, Plinio Pelegrini
dc.contributor.authorGhaffarian, Saman
dc.contributor.authorChumachenko, Tetyana
dc.contributor.authorЧумаченко, Тетяна Олександрівна
dc.date.accessioned2024-11-05T14:51:04Z
dc.date.issued2024-09
dc.identifier.citationEditorial: Artificial intelligence solutions for global health and disaster response: challenges and opportunities / D. Chumachenko, P. P. Morita, S. Ghaffarian, T. Chumachenko // Artificial intelligence solutions for global health and disaster response: Challenges and opportunities : [monograph] / T. Chumachenko, P. P. Morita, D. Chumachenko, S. Ghaffarian. ─ Published in Frontiers in Public Health. – [Lausanne], 2024. – P. P. 6-9. – DOI: 10.3389/fpubh.2024.1439914.
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/34594
dc.language.isoen
dc.subjectartificial intelligence
dc.subjecthealth care
dc.subjectcatastrophe
dc.subject2024а
dc.titleEditorial: Artificial intelligence solutions for global health and disaster response: challenges and opportunities
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
D.Chumachenko_P.P.Morita_S.Ghaffarian_T.Chumachenko.pdf
Size:
653.95 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
11.22 KB
Format:
Item-specific license agreed upon to submission
Description: