A Machine Learning Approach to Alzheimer's Detection From Continuous Blood Glucose Monitoring Data
A Machine Learning Approach to Alzheimer's Detection From Continuous Blood Glucose Monitoring Data
The Alzheimer's and Blood Glucose Levels Study is researching the differences in blood glucose levels between people with and without Mild Cognitive Impairment or Alzheimer's disease with the aim of early detection of Alzheimer's Disease.
This study will collect continuous glucose monitor (CGM) data from participants already using CGMs to better understand the relationship between Alzheimer's Disease and blood glucose levels. This study will use the " Endobits Companion " app for data collection. The Endobits Companion app is freely available for Android and iOS mobile devices, and was designed to keep track of patients diabetes management through a journal and relay this information with their CGM readings to their caring physician.
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Exclusion Criteria:
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