Maniaci, A.; Riela, P.M.; Iannella, G.; Lechien, J.R.; La Mantia, I.; De Vincentiis, M.; Cammaroto, G.; Calvo-Henriquez, C.; Di Luca, M.; Chiesa Estomba, C.;
et al. Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study. Life 2023, 13, 702.
https://doi.org/10.3390/life13030702
AMA Style
Maniaci A, Riela PM, Iannella G, Lechien JR, La Mantia I, De Vincentiis M, Cammaroto G, Calvo-Henriquez C, Di Luca M, Chiesa Estomba C,
et al. Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study. Life. 2023; 13(3):702.
https://doi.org/10.3390/life13030702
Chicago/Turabian Style
Maniaci, Antonino, Paolo Marco Riela, Giannicola Iannella, Jerome Rene Lechien, Ignazio La Mantia, Marco De Vincentiis, Giovanni Cammaroto, Christian Calvo-Henriquez, Milena Di Luca, Carlos Chiesa Estomba,
and et al. 2023. "Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study" Life 13, no. 3: 702.
https://doi.org/10.3390/life13030702
APA Style
Maniaci, A., Riela, P. M., Iannella, G., Lechien, J. R., La Mantia, I., De Vincentiis, M., Cammaroto, G., Calvo-Henriquez, C., Di Luca, M., Chiesa Estomba, C., Saibene, A. M., Pollicina, I., Stilo, G., Di Mauro, P., Cannavicci, A., Lugo, R., Magliulo, G., Greco, A., Pace, A.,
... Vicini, C.
(2023). Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study. Life, 13(3), 702.
https://doi.org/10.3390/life13030702