TY  - JOUR 
AU  - Maniaci, A.
AU  - Riela, P.M.
AU  - Iannella, G.
AU  - Lechien, J.R.
AU  - La Mantia, I.
AU  - De Vincentiis, M.
AU  - Cammaroto, G.
AU  - Calvo Henríquez, Christian Ezequiel
AU  - Di Luca, M.
AU  - Chiesa Estomba, Carlos Miguel
AU  - Saibene, A.M.
AU  - Pollicina, I.
AU  - Stilo, G.
AU  - Di Mauro, P.
AU  - Cannavicci, A.
AU  - Lugo, R.
AU  - Magliulo, G.
AU  - Greco, A.
AU  - Pace, A.
AU  - Meccariello, G.
AU  - Cocuzza, S.
AU  - Vicini, C.
PY  - 2023
SN  - 2075-1729
UR  - http://hdl.handle.net/20.500.11940/21698
AB  - Objectives: To evaluate the role of clinical scores assessing the risk of disease severity in patients with clinical suspicion of obstructive sleep apnea syndrome (OSA). The hypothesis was tested by applying artificial intelligence (AI) to demonstrate...
LA  - eng
TI  - Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study
DO  - 10.3390/life13030702
T2  - Life
KW  - AS Santiago
KW  - CHUS
KW  - AS Vigo
KW  - CHUVI
VL  - 13
ER  -