Interpretation Method for Continuous Glucose Monitoring with Subsequence Time-Series Clustering...30th Medical Informatics Europe Conference
We propose mini-batch top-n k-medoids to sequential pattern mining to improve CGM interpretation. Mecical workers can treat specific patient groups better by understanding the time series variation of blood glucose results. For 10 years, continuous glucose monitoring (CGM) has provided time-series d...
| Published in: | Studies in Health Technology & Informatics Vol. 270; pp. 277 - 282 |
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| Main Authors: | , , , , |
| Format: | proceedings research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2020
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| Online Access: | View this record in EBSCOhost |