Predicting Unmet Healthcare Needs in Post-Disaster: A Machine Learning Approach

Unmet healthcare needs in the aftermath of disasters can significantly impede recovery efforts and exacerbate health disparities among the affected communities. This study aims to assess and predict such needs, develop an accurate predictive model, and identify the key influencing factors. Data from...

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Detalles Bibliográficos
Autores principales: Han, Hyun Jin, Suh, Hae Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572666/
https://www.ncbi.nlm.nih.gov/pubmed/37835087
http://dx.doi.org/10.3390/ijerph20196817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572666/
https://www.ncbi.nlm.nih.gov/pubmed/37835087
http://dx.doi.org/10.3390/ijerph20196817

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