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Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

We followed the methods by Yu et al [38] to extract some features from the same Fitbit and survey data, and engineered extra features to accommodate our objectives. Raw data from Fitbit included minute-by-minute steps and heart rate as well as the start time, end time, duration, and efficiency of each sleep period. From raw heart rate data, we computed their average, SD, and sample entropy.

Yufei Shen, Alicia Choto Olivier, Han Yu, Asami Ito-Masui, Ryota Sakamoto, Motomu Shimaoka, Akane Sano

JMIR Form Res 2025;9:e65000

Evaluation of the Clinical Nursing Effects of a Traditional Chinese Medicine Nursing Program Based on Care Pathways for Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Clinical Trial

Evaluation of the Clinical Nursing Effects of a Traditional Chinese Medicine Nursing Program Based on Care Pathways for Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Clinical Trial

For instance, a study by Li [6] analyzed the effectiveness of clinical nursing pathways in type 2 diabetes mellitus (T2 DM) care, demonstrating that a research group using clinical nursing pathways achieved better control of fasting blood glucose and postprandial 2-hour glucose levels compared to a control group (P Similarly, a study by Ren et al [7] showed that implementing traditional Chinese medicine (TCM) nursing programs in general hospitals resulted in higher quality-of-life scores for patients in an observation

Yanchun Zhao, Ting Huang, Yanli Chen, Songmei Li, Juan Zhao, Xu Han, Qing Ni, Ning Su

JMIR Res Protoc 2025;14:e58951