In Silico Test for MPC and SMC Controllers Under Parametric Variations in Type 1 Diabetic Patients

Sereno, Juan E.; Caicedo, Michelle A.; Rivadeneira, Pablo S.; Camacho, Oscar

doi:10.23919/aadeca.2018.8577284

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…ere should be the provider side's key objective to create a straightforward approach for providers to monitor the education and communication with their patients from many angles. e features on the provider's end give medical professionals a slew of useful options [17][18][19][20][21]. As a result, patients can benefit from high-quality services and successful therapy.…”

Section: Methodsmentioning

confidence: 99%

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

Alazzam

Mansour

Alassery

et al. 2021

Computational Intelligence and Neuroscience

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Lifestyle influences morbidity and mortality rates in the world. Physical activity, a healthy weight, and a healthy diet are key preventative health behaviours that help reduce the risk of developing type 2 diabetes and its complications, such as cardiovascular disease. A healthy lifestyle has been shown to prevent or delay chronic diseases and their complications, but few people follow all recommended self-management behaviours. This work seeks to improve knowledge of factors affecting type 2 diabetes self-management and prevention through lifestyle changes. This paper describes the design, development, and testing of a diabetes self-management mobile app. The app tracked dietary consumption and health data. Bluetooth movement data from a pair of wearable insole devices are used to track carbohydrate intake, blood glucose, medication adherence, and physical activity. Two machine learning models were constructed to recognise sitting and standing. The SVM and decision tree models were 86% accurate for these tasks. The decision tree model is used in a real-time activity classification app. It is exciting to see more and more mobile health self-management apps being used to treat chronic diseases.

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