HIGHLIGHTS
- What: Due to the small amount of data in the dataset, the evaluation of the model is only acceptable, and it is hoped that more relevant data can be collected, and more varied methods can be used to make the detection of sleep problems as accurate and fast as possible.
- Who: Kaiwen Deng from the School of Software Engineering, Software Engineering Institute of Guangzhou, Guangzhou, China have published the article: Research on the Adoption of Machine Learning in the Domain of Sleep Disorder Detection, in the : Proceedings of the 5th International Conference on Signal Processing . . .
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