Article

Identification of Blood Glucose Patterns through Continuous Glucose Monitoring Sensors and Decision Trees

2020-09-11

Abstract excerpt

The demand for Continuous Glucose Monitoring systems is increasing among type 1 diabetic patients. Some companies are trying to improve the monitoring and the usability of these systems. One example is Abbott FreeStyle Libre, which provides a new concept of glucose monitoring called Flash Glucose Monitoring which is more affordable and does not need calibration. The increasing demand for these devices means an opp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: daacfc70-9785-5606-be57-6c0ed6c7ed6e
DOI: 10.1101/2020.09.09.20190736

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of Blood Glucose Patterns through Continuous Glucose Monitoring Sensors and Decision TreesDOI 10.1101/2020.09.09.20190736Read

Comparative Study of Machine Learning Techniques for Diabetes ForecastingSemantic proximity Read

Improving real-time and remote monitoring system for diabetic subjects using flash continuous glucose measurement: accuracy and reliabilitySemantic proximity Read

Development and validation of a type 2 diabetes machine learning classification model for EHR-based diagnostics and clinical decision supportSemantic proximity Read

Development and validation of various phenotyping algorithms for Diabetes Mellitus using data from electronic health records.Semantic proximity Read

Diabetes Prediction Using Machine LearningSemantic proximity Read

Towards Reliable Diabetes Prediction: Innovations in Data Engineering and Machine Learning ApplicationsSemantic proximity Read

Predicting long-term Type 2 Diabetes with Support Vector Machine using Oral Glucose Tolerance TestSemantic proximity Read

Prediction of Glycated Haemoglobin Based on Routine Blood Count Tests to Support the Diagnosis of Diabetes MellitusSemantic proximity Read

Integrating Healthcare Analytics to Improve Diabetes Management and Prevent Heart Attacks: A Data-Driven ApproachSemantic proximity Read

The intelligent Diabetes TelemonitoRing Using decision Support to treat patients on insulin Therapy (DiaTRUST) trial: study protocol for a randomized controlled trialSemantic proximity Read

A Systematic Review of Hybrid Intelligent Models for Early Detection of Diabetes Using Electronic Health RecordsSemantic proximity Read

Implications of Remote Monitoring Technology in Optimizing Traditional Self-Monitoring of Blood Glucose in Adults with T2DM in primary careSemantic proximity Read