Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

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

Catalina González-Uribe et al. (2022)

> Home

Details and statistics

DOI: 10.12688/F1000RESEARCH.110958.1

access: open

type: Informal or Other Publication

metadata version: 2023-08-28

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/f1000research/GonzalezUribeYNVCSNBFGTHM22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/f1000research/GonzalezUribeYNVCSNBFGTHM22
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)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.