Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nevo Itzhak"'
Publikováno v:
International Journal of Human–Computer Interaction. :1-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca244fbad0de1b2133b0bf72d96af718
https://doi.org/10.1080/10447318.2022.2118009
https://doi.org/10.1080/10447318.2022.2118009
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333736
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef897efde59ced20deb5da63f2db4103
https://doi.org/10.1007/978-3-031-33374-3_19
https://doi.org/10.1007/978-3-031-33374-3_19
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::218f4cce2f5e78f4e9f2678ad1199883
https://doi.org/10.1109/bigdata55660.2022.10020752
https://doi.org/10.1109/bigdata55660.2022.10020752
Publikováno v:
Artificial Intelligence in Medicine. 139:102525
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62a098a4f13e77ddc987843523371269
https://doi.org/10.1016/j.artmed.2023.102525
https://doi.org/10.1016/j.artmed.2023.102525
Publikováno v:
Journal of urban health : bulletin of the New York Academy of Medicine. 99(3)
The effect of socio-economic factors, ethnicity, and other factors, on the morbidity and mortality of COVID-19 at the sub-population-level, rather than at the individual level, and their temporal dynamics, is only partially understood. Fifty-three co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97fd1615e08610318166dec512dd20ae
https://pubmed.ncbi.nlm.nih.gov/35378717
https://pubmed.ncbi.nlm.nih.gov/35378717
BackgroundThe effect of socioeconomic factors, ethnicity, and other variables, on the frequency of COVID-19 cases [morbidity] and induced deaths [mortality] atsub-population, rather than atindividuallevels, is only partially understood.ObjectiveTo de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07279d327bced596c2b0768cb2031f4
https://doi.org/10.1101/2021.01.19.21250092
https://doi.org/10.1101/2021.01.19.21250092
Autor:
Aditya Nagori, Rakesh Lodha, Tavpritesh Sethi, Maya Schvetz, Nevo Itzhak, Edo Lior, Robert Moskovitch
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030591366
AIME
AIME
Predicting outbursts of hazardous medical conditions and its importance has arisen significantly in recent years, particularly in patients hospitalized in the Intensive Care Unit (ICU). In hospitals worldwide, patients are developing life-threatening
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e10478c05030f22811a5e1c00adc82
https://doi.org/10.1007/978-3-030-59137-3_35
https://doi.org/10.1007/978-3-030-59137-3_35