Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation

The development of medical diagnostic models to support healthcare professionals has witnessed remarkable growth in recent years. Among the prevalent health conditions affecting the global population, diabetes stands out as a significant concern. In the domain of diabetes diagnosis, machine learning...

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Detalles Bibliográficos
Autores principales: García-Domínguez, Antonio, Galván-Tejada, Carlos E., Magallanes-Quintanar, Rafael, Gamboa-Rosales, Hamurabi, Curiel, Irma González, Peralta-Romero, Jesús, Cruz, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317588/
https://www.ncbi.nlm.nih.gov/pubmed/37404324
http://dx.doi.org/10.1155/2023/9713905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317588/
https://www.ncbi.nlm.nih.gov/pubmed/37404324
http://dx.doi.org/10.1155/2023/9713905

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