Tracking financing for global common goods for health: A machine learning approach using natural language processing techniques

OBJECTIVE: Tracking global health funding is a crucial but time consuming and labor-intensive process. This study aimed to develop a framework to automate the tracking of global health spending using natural language processing (NLP) and machine learning (ML) algorithms. We used the global common go...

Descripción completa

Detalles Bibliográficos
Autores principales: Dixit, Siddharth, Mao, Wenhui, McDade, Kaci Kennedy, Schäferhoff, Marco, Ogbuoji, Osondu, Yamey, Gavin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712779/
https://www.ncbi.nlm.nih.gov/pubmed/36466519
http://dx.doi.org/10.3389/fpubh.2022.1031147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712779/
https://www.ncbi.nlm.nih.gov/pubmed/36466519
http://dx.doi.org/10.3389/fpubh.2022.1031147

Ejemplares similares