"A mixed-methods study on the design of Artificial Intelligence and data ..."

Catalina González-Uribe et al. (2022)

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DOI: 10.12688/F1000RESEARCH.110958.1

access: open

type: Informal or Other Publication

metadata version: 2024-10-06

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Catalina González-Uribe, Nicolás Yañez, Alf Onshuus Niño, Nubia Velasco, Juan M. Cordovez, Mauricio Santos-Vega, Natalia Niño-Machado, Andres Burbano, Angus G. Forbes, Ciro-Alberto Amaya Guio, Simon Turner, Diana Higuera-Mendieta, Sandra Martínez-Cabezas:
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. F1000Research 11: 691 (2022)

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