Diaz-Ramos, R.E.; Gomez-Cravioto, D.A.; Trejo, L.A.; López, C.F.; Medina-Pérez, M.A.
Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach. Sensors 2021, 21, 8293.
https://doi.org/10.3390/s21248293
AMA Style
Diaz-Ramos RE, Gomez-Cravioto DA, Trejo LA, López CF, Medina-Pérez MA.
Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach. Sensors. 2021; 21(24):8293.
https://doi.org/10.3390/s21248293
Chicago/Turabian Style
Diaz-Ramos, Ramon E., Daniela A. Gomez-Cravioto, Luis A. Trejo, Carlos Figueroa López, and Miguel Angel Medina-Pérez.
2021. "Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach" Sensors 21, no. 24: 8293.
https://doi.org/10.3390/s21248293
APA Style
Diaz-Ramos, R. E., Gomez-Cravioto, D. A., Trejo, L. A., López, C. F., & Medina-Pérez, M. A.
(2021). Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach. Sensors, 21(24), 8293.
https://doi.org/10.3390/s21248293