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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |