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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| 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 |