Systematic mapping of global research on climate and health: a machine learning review

BACKGROUND: The global literature on the links between climate change and human health is large, increasing exponentially, and it is no longer feasible to collate and synthesise using traditional systematic evidence mapping approaches. We aimed to use machine learning methods to systematically synth...

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Detalles Bibliográficos
Autores principales: Berrang-Ford, Lea, Sietsma, Anne J, Callaghan, Max, Minx, Jan C, Scheelbeek, Pauline F D, Haddaway, Neal R, Haines, Andy, Dangour, Alan D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358978/
https://www.ncbi.nlm.nih.gov/pubmed/34270917
http://dx.doi.org/10.1016/S2542-5196(21)00179-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358978/
https://www.ncbi.nlm.nih.gov/pubmed/34270917
http://dx.doi.org/10.1016/S2542-5196(21)00179-0

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