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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...
Autores principales: | García-Domínguez, Antonio, Galván-Tejada, Carlos E., Magallanes-Quintanar, Rafael, Gamboa-Rosales, Hamurabi, Curiel, Irma González, Peralta-Romero, Jesús, Cruz, Miguel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
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 |
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