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Pediatric obstructive sleep apnea: predictive modeling to streamline care

To prioritize pediatric attended polysomnography and treatment for children most in need while reducing the unnecessary use of overnight sleep studies, we propose to build and rigorously evaluate a clinical risk prediction model. We will combine data from pediatric sleep questionnaires with other risk factors derived from the electronic medical record to predict obstructive sleep apnea severity among pediatric sleep patients and evaluate our model’s performance in an independent sample. 

Investigator: Feliciano, Elizabeth

Funder: The Permanente Medical Group

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