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...

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Detalles Bibliográficos
Autores principales: Patro, Kiran Kumar, Allam, Jaya Prakash, Sanapala, Umamaheswararao, Marpu, Chaitanya Kumar, Samee, Nagwan Abdel, Alabdulhafith, Maali, Plawiak, Pawel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

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