Spinazzola, E.; Picaud, G.; Becchi, S.; Pittarello, M.; Ricci, E.; Chaumont, M.; Subsol, G.; Pareschi, F.; Teot, L.; Secco, J.
Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study. J. Clin. Med. 2025, 14, 2943.
https://doi.org/10.3390/jcm14092943
AMA Style
Spinazzola E, Picaud G, Becchi S, Pittarello M, Ricci E, Chaumont M, Subsol G, Pareschi F, Teot L, Secco J.
Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study. Journal of Clinical Medicine. 2025; 14(9):2943.
https://doi.org/10.3390/jcm14092943
Chicago/Turabian Style
Spinazzola, Elisabetta, Guillaume Picaud, Sara Becchi, Monica Pittarello, Elia Ricci, Marc Chaumont, Gérard Subsol, Fabio Pareschi, Luc Teot, and Jacopo Secco.
2025. "Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study" Journal of Clinical Medicine 14, no. 9: 2943.
https://doi.org/10.3390/jcm14092943
APA Style
Spinazzola, E., Picaud, G., Becchi, S., Pittarello, M., Ricci, E., Chaumont, M., Subsol, G., Pareschi, F., Teot, L., & Secco, J.
(2025). Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study. Journal of Clinical Medicine, 14(9), 2943.
https://doi.org/10.3390/jcm14092943
