Ru-Yu Lien, Chun-Gu Cheng, Shih-Hsin Hung, Chien-Ying Wang, Hui-Chen Lin, Shu-Fen Lu, Shu-I Chin, Yi-Wen Kuo, Chia-Wen Liu, Ming-Chi Yung, Chun-An Cheng
The Effect of the Knowledge, Skills, and Attitudes from Nurse Training Using In Situ Simulation in an Intensive Care Unit
Healthcare (Basel, Switzerland)
prediabetes impacts one every three individuals 10 annual probability transitioning type 2 diabetes without lifestyle changes medical interventions crucial manage glycemic health deter progression type 2 diabetes united states 13 individuals 18 years age older diabetes 345 meet criteria prediabetes diabetes mellitus prediabetes common older persons currently nevertheless arent many noninvasive commercially accessible methods tracking glycemic status help prediabetes selfmanagement study tackles task forecasting glucose levels using personalized prediabetes data utilization long shortterm memory lstm model continuous monitoring interstitial glucose levels heart rate measurements dietary records spanning week collected analysis efficacy proposed model assessed using evaluation metrics including root mean square error rmse mean squared error mse mean absolute error mae coefficient determination r2