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2019-997 Use of Machine Learning to Predict Non-Diagnostic Home Sleep Apnea Tests
SUMMARY:Researchers led by Robert Stretch from the Division of Pulmonary, Critical Care & Sleep Medicine at UCLA have developed an algorithm that can predict whether a patient will have a non-diagnostic home sleep apnea test based upon data from the electronic health record and a brief questionnaire.BACKGROUND:Obstructive sleep apnea (OSA) affects...
Published: 7/19/2023
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Inventor(s):
Robert Stretch
,
Michelle Zeidler
,
Constance Fung
,
Armand Ryden
Keywords(s):
Advanced Computing / AI
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Bioinformatics
,
Personal Care / Home Care
,
Simulation & Modeling
,
Software
,
Software & Algorithms
Category(s):
Medical Devices > Monitoring And Recording Systems
,
Platforms > Diagnostic Platform Technologies
,
Software & Algorithms > Data Analytics