Article Versions Notes

Lacedonia D, De Pace CC, Rea G, Capitelli L, Gallo C, Scioscia G, Tondo P, Bocchino M. Machine Learning and BMI Improve the Prognostic Value of GAP Index in Treated IPF Patients. Bioengineering. 2023; 10(2):251. https://doi.org/10.3390/bioengineering10020251

Lacedonia, Donato, Cosimo Carlo De Pace, Gaetano Rea, Ludovica Capitelli, Crescenzio Gallo, Giulia Scioscia, Pasquale Tondo, and Marialuisa Bocchino. 2023. "Machine Learning and BMI Improve the Prognostic Value of GAP Index in Treated IPF Patients" Bioengineering 10, no. 2: 251. https://doi.org/10.3390/bioengineering10020251

Lacedonia, D., De Pace, C. C., Rea, G., Capitelli, L., Gallo, C., Scioscia, G., Tondo, P., & Bocchino, M. (2023). Machine Learning and BMI Improve the Prognostic Value of GAP Index in Treated IPF Patients. Bioengineering, 10(2), 251. https://doi.org/10.3390/bioengineering10020251