Predicting Nondiagnostic Home Sleep Apnea Tests Using Machine Learning

STUDY OBJECTIVES: Home sleep apnea testing (HSAT) is an efficient and cost-effective method of diagnosing obstructive sleep apnea (OSA). However, nondiagnostic HSAT necessitates additional tests that erode these benefits, delaying diagnoses and increasing costs. Our objective was to optimize this di...

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Detalhes bibliográficos
Publicado no:J Clin Sleep Med
Main Authors: Stretch, Robert, Ryden, Armand, Fung, Constance H., Martires, Joanne, Liu, Stephen, Balasubramanian, Vidhya, Saedi, Babak, Hwang, Dennis, Martin, Jennifer L., Della Penna, Nicolás, Zeidler, Michelle R.
Formato: Artigo
Idioma:Inglês
Publicado em: American Academy of Sleep Medicine 2019
Assuntos:
Scientific Investigations
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6853403/
https://ncbi.nlm.nih.gov/pubmed/31739849
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5664/jcsm.8020
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