Internet of things-inspired healthcare system for urine-based diabetes prediction

作者：

Highlights：

• This study presents an effective Urine-based Diabetes (UbD) monitoring system.

• The proposed system comprises of 4-layered architecture for predicting and monitoring diabetes-oriented infection in urine.

• Probabilistic measurement of urine monitoring in terms of Level of Diabetic Infection (LoDI), and Diabetes Infection Measure (DIM) has been performed for predictive purposes.

摘要

•This study presents an effective Urine-based Diabetes (UbD) monitoring system.•The proposed system comprises of 4-layered architecture for predicting and monitoring diabetes-oriented infection in urine.•Probabilistic measurement of urine monitoring in terms of Level of Diabetic Infection (LoDI), and Diabetes Infection Measure (DIM) has been performed for predictive purposes.

论文关键词：Internet of things,Diabetic monitoring system,Recurrent Neural Network (RNN),SOM visualization

论文评审过程：Received 16 July 2019, Revised 30 May 2020, Accepted 12 June 2020, Available online 15 June 2020, Version of Record 20 June 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101913