Multimodal Deep Learning Model for Predicting the Apnea-Hypopnea Index in Obstructive Sleep
Multimodal Deep Learning Model for Predicting the Apnea-Hypopnea Index in Obstructive Sleep
Recruiting · NCT07447999 · Registry updated 2026-03-05Clinical trials
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| Trial | Conditions | Status | Phase | Updated | More info | NCT ID |
|---|---|---|---|---|---|---|
| Multimodal Deep Learning Model for Predicting the Apnea-Hypopnea Index in Obstructive Sleep | Apnea, Dyssomnias, Respiration Disorders, Sleep Disorders, Intrinsic, nervous system disorder, obstructive sleep apnea syndrome, respiratory system disorder, sleep apnea syndrome, sleep-wake disorder | Recruiting | Not stated | 2026-03-05 | NCT07447999 |
1 results · Page 1 of 1
Organizations
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| Organizations | Linked trials |
|---|---|
| Fu Jen Catholic University | 20 |
1 results · Page 1 of 1
Research sites
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| Research sites | City | Country | Linked trials |
|---|---|---|---|
| Fu Jen Catholic University Hospital, Fu Jen Catholic University | New Taipei City | Taiwan | 17 |