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...
Saved in:
| Main Authors: | Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Hamurabi Gamboa-Rosales, Irma González Curiel, Jesús Peralta-Romero, Miguel Cruz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2023/9713905 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease
by: Valeria Maeda-Gutiérrez, et al.
Published: (2024-12-01) -
Sex-Specific Ensemble Models for Type 2 Diabetes Classification in the Mexican Population
by: Mendoza-Mendoza MM, et al.
Published: (2025-05-01) -
CLINICAL AND PARACLINICAL PARTICULARITIES IN PATIENTS WITH COPD AND PULMONARY HYPERTENSION
by: Simona Steliana Tudor, et al.
Published: (2025-06-01) -
MORPHOCLINICAL AND PARACLINICAL FEATURES OF FELINE INFECTIOUS PERITONITIS (FIP)
by: Vasile BOGHIAN
Published: (2023-07-01) -
Epidemiological, Clinical, and Paraclinic Aspect of Cutaneous Sarcoidosis in Black Africans
by: Mamadou Kaloga, et al.
Published: (2015-01-01)