Article Versions Notes

Ruiz de San Martín R, Morales-Hernández C, Barberá C, Martínez-Cortés C, Banegas-Luna AJ, Segura-Méndez FJ, Pérez-Sánchez H, Morales-Moreno I, Hernández-Morante JJ. Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission. Machine Learning and Knowledge Extraction. 2024; 6(3):1653-1666. https://doi.org/10.3390/make6030080

Ruiz de San Martín, Rafael, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, and Juan José Hernández-Morante. 2024. "Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission" Machine Learning and Knowledge Extraction 6, no. 3: 1653-1666. https://doi.org/10.3390/make6030080

Ruiz de San Martín, R., Morales-Hernández, C., Barberá, C., Martínez-Cortés, C., Banegas-Luna, A. J., Segura-Méndez, F. J., Pérez-Sánchez, H., Morales-Moreno, I., & Hernández-Morante, J. J. (2024). Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission. Machine Learning and Knowledge Extraction, 6(3), 1653-1666. https://doi.org/10.3390/make6030080