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A mixed-methods study on the design of Artificial Intellige..:
González-Uribe, Catalina
;
Yañez, Nicolás
;
Onshuus Niño, Alf
...
F1000Research. 11 (2022) - p. 691 , 2022
Link:
https://doi.org/10.12688/f1000research.110958.1
RT Journal T1
A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV
UL https://suche.suub.uni-bremen.de/peid=cr-10.12688_f1000research.110958.1&Exemplar=1&LAN=DE A1 González-Uribe, Catalina A1 Yañez, Nicolás A1 Onshuus Niño, Alf A1 Velasco, Nubia A1 Cordovez, Juan Manuel A1 Santos-Vega, Mauricio A1 Niño-Machado, Natalia A1 Burbano, Andres A1 Forbes, Angus A1 Amaya Guio, Ciro Alberto A1 Turner, Simon A1 Higuera-Mendieta, Diana A1 Martínez-Cabezas, Sandra PB F1000 Research Ltd YR 2022 SN 2046-1402 JF F1000Research VO 11 SP 691 LK http://dx.doi.org/https://doi.org/10.12688/f1000research.110958.1 DO https://doi.org/10.12688/f1000research.110958.1 SF ELIB - SuUB Bremen
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