Development of a personalized blood glucose management smartphone application software based on artificial neural network
博士 === 國立中興大學 === 生物科技學研究所 === 105 === Diabetes mellitus (DM) is a chronic disease that requires constant self-management of health condition by the patients, including monitoring of blood glucose levels, dietary control. However, blood glucose response is highly variable among individuals, and the...
Main Authors: | Chun-Su Lin, 林純夙 |
---|---|
Other Authors: | 胡仲祺 |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/63514972570680010991 |
Similar Items
-
Smartphone-based personalized blood glucose prediction
by: Juan Li, et al.
Published: (2016-12-01) -
Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by: Bahremand, Saeid
Published: (2017) -
A Comparison of Artificial Neural Networks and ARIMA for the Global Market Forecasting on Blood Glucose Diagnostic Instruments
by: Yao-Pin, Liu, et al.
Published: (2007) -
A Study of Consumer Repurchase Behaviors of Smartphones Using Artificial Neural Network
by: Hong Joo Lee
Published: (2020-08-01) -
Artificial neural network trained on smartphone behavior can trace epileptiform activity in epilepsy
by: Robert B. Duckrow, et al.
Published: (2021-06-01)