Article Versions Notes

Cano J, Fácila L, Gracia-Baena JM, Zangróniz R, Alcaraz R, Rieta JJ. The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography. Biosensors. 2022; 12(5):289. https://doi.org/10.3390/bios12050289

Cano, Jesús, Lorenzo Fácila, Juan M. Gracia-Baena, Roberto Zangróniz, Raúl Alcaraz, and José J. Rieta. 2022. "The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography" Biosensors 12, no. 5: 289. https://doi.org/10.3390/bios12050289

Cano, J., Fácila, L., Gracia-Baena, J. M., Zangróniz, R., Alcaraz, R., & Rieta, J. J. (2022). The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography. Biosensors, 12(5), 289. https://doi.org/10.3390/bios12050289