Facilitating CPAP Adherence with Personalized Recommendations Using Artificial Neural Networks

2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)(2021)

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摘要
Sleep apnea is a common sleep disorder that, if left untreated, can have critical complications to the individual. The most common and effective treatment for sleep apnea is the Continuous Positive Airway Pressure (CPAP) therapy. But it has a long-term adherence rate as low as 60% due to discomfort and other factors. Although previous research has attempted to increase CPAP usage, there has been l...
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关键词
Training,Recurrent neural networks,Medical treatment,Artificial neural networks,Sleep apnea
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