Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks.

Butcher, Bradley; Huang, Vincent S; Robinson, Christopher; Reffin, Jeremy; Sgaier, Sema K; Charles, Grace; Quadrianto, Novi

Butcher, Bradley; Huang, Vincent S; Robinson, Christopher; Reffin, Jeremy; Sgaier, Sema K; Charles, Grace; Quadrianto, Novi.

Afiliação

Butcher B; Department of Informatics, Predictive Analytics Lab (PAL), University of Sussex, Brighton, United Kingdom.
Huang VS; Surgo Ventures, Washington, DC, United States.
Robinson C; Department of Informatics, Predictive Analytics Lab (PAL), University of Sussex, Brighton, United Kingdom.
Reffin J; Department of Informatics, Predictive Analytics Lab (PAL), University of Sussex, Brighton, United Kingdom.
Sgaier SK; Surgo Ventures, Washington, DC, United States.
Charles G; Harvard T. H. Chan School of Public Health, Cambridge, MA, United States.
Quadrianto N; Department of Global Health, University of Washington, Seattle, WA, United States.

Front Artif Intell ; 4: 612551, 2021.

Article em En | MEDLINE | ID: mdl-34337389

Palavras-chave

bayesian network; big data; causal modeling; causality; lower middle income country; machine learning

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Artif Intell Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

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