Conte, L.; De Nunzio, G.; Giombi, F.; Lupo, R.; Arigliani, C.; Leone, F.; Salamanca, F.; Petrelli, C.; Angelelli, P.; De Benedetto, L.;
et al. Machine Learning Models to Enhance the Berlin Questionnaire Detection of Obstructive Sleep Apnea in at-Risk Patients. Appl. Sci. 2024, 14, 5959.
https://doi.org/10.3390/app14135959
AMA Style
Conte L, De Nunzio G, Giombi F, Lupo R, Arigliani C, Leone F, Salamanca F, Petrelli C, Angelelli P, De Benedetto L,
et al. Machine Learning Models to Enhance the Berlin Questionnaire Detection of Obstructive Sleep Apnea in at-Risk Patients. Applied Sciences. 2024; 14(13):5959.
https://doi.org/10.3390/app14135959
Chicago/Turabian Style
Conte, Luana, Giorgio De Nunzio, Francesco Giombi, Roberto Lupo, Caterina Arigliani, Federico Leone, Fabrizio Salamanca, Cosimo Petrelli, Paola Angelelli, Luigi De Benedetto,
and et al. 2024. "Machine Learning Models to Enhance the Berlin Questionnaire Detection of Obstructive Sleep Apnea in at-Risk Patients" Applied Sciences 14, no. 13: 5959.
https://doi.org/10.3390/app14135959
APA Style
Conte, L., De Nunzio, G., Giombi, F., Lupo, R., Arigliani, C., Leone, F., Salamanca, F., Petrelli, C., Angelelli, P., De Benedetto, L., & Arigliani, M.
(2024). Machine Learning Models to Enhance the Berlin Questionnaire Detection of Obstructive Sleep Apnea in at-Risk Patients. Applied Sciences, 14(13), 5959.
https://doi.org/10.3390/app14135959
