Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes

Keyphrases

• Environmental Impact 100%
• Type 2 Diabetes Mellitus (T2DM) 100%
• Continuous Glucose Monitoring 80%
• ROC-AUC 60%
• Monitoring Data 40%
• Activity Data 40%
• Glucose Level 40%
• Holidays 40%
• Glycemic Metrics 40%
• External Events 20%
• Population Level 20%
• Weather Conditions 20%
• Health Activity 20%
• Risk Assessment 20%
• Individual Health 20%
• Demographic Information 20%
• Health Records 20%
• Time Effect 20%
• Random Forest Classifier 20%
• Temporal Events 20%
• Record Data 20%
• Time Bias 20%
• Glucose Sensor 20%
• Algorithm Development 20%
• Difficult to Manage 20%
• Patient Care Management 20%
• Extreme Weather Events 20%
• Health Complications 20%
• Time in Range 20%

Computer Science

• Demographic Information 100%
• Care Management 100%
• Large Data Set 100%
• Population Level 100%
• Algorithm Development 100%
• Random Forest Classifier 100%
• Monitoring Data 100%
• Weather Condition 100%

Mathematics

• Median 100%
• Population Level 50%
• Data Pair 50%
• Development Algorithm 50%
• Demographic Information 50%