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Predicting disease risks from highly imbalanced data using random forest
BACKGROUND: We present a method utilizing Healthcare Cost and Utilization Project (HCUP) dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorporated in a variety of applications such as risk management, tailored health co...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163175/ https://www.ncbi.nlm.nih.gov/pubmed/21801360 http://dx.doi.org/10.1186/1472-6947-11-51 |