Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly.

Zhizhen Liu,Lin Zhang,Jingsong Wu,Zhicheng Zheng,Jiahui Gao, Yongsheng Lin,Yinghua Liu,Haihua Xu,Yongjin Zhou

Frontiers in public health（2022）

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摘要

By collecting PSQI Scale data combined with circadian rhythm characteristics monitored by wrist-wearable sensors, we are able to construct XGBoost and GBDT machine learning models with good discrimination, thus providing an early warning solution for identifying family and community members with high risk of MCI.

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关键词

circadian rhythm,ecological transient assessment,machine learning,mild cognitive impairment,wrist-wearable sensors

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