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An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques
The rising risk of diabetes, particularly in emerging countries, highlights the importance of early detection. Manual prediction can be a challenging task, leading to the need for automatic approaches. The major challenge with biomedical datasets is data scarcity. Biomedical data is often difficult...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544445/ https://www.ncbi.nlm.nih.gov/pubmed/37784049 http://dx.doi.org/10.1186/s12859-023-05488-6 |