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

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

ObjectiveTracking 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 good...

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Bibliographic Details
Main Authors: Siddharth Dixit, Wenhui Mao, Kaci Kennedy McDade, Marco Schäferhoff, Osondu Ogbuoji, Gavin Yamey
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Public Health
Subjects:
classification
natural language processing
machine learning
global common goods for health
official development assistance
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1031147/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.1031147/full

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