An Analytical Predictive Models and Secure Web-Based Personalized Diabetes Monitoring System

An Analytical Predictive Models and Secure Web-Based Personalized Diabetes Monitoring System

Diabetes, in all of its types, costs countries of all income levels unacceptably enormous personal, societal, and economic expenses. To predict type-2 diabetes, this work aimed to develop an analytical predictive model based on machine learning techniques and a web-based personalized diabetes monito...

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Bibliografiska uppgifter
Huvudupphovsmän: Radwa Marzouk, Ala Saleh Alluhaidan, Sahar A. El Rahman
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2022-01-01
Serie:IEEE Access
Ämnen:
Artificial neural network
data analytics
data visualization
diabetes
Internet of Things (IoT)
machine learning
Länkar:https://ieeexplore.ieee.org/document/9906983/

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https://ieeexplore.ieee.org/document/9906983/

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