A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism
BackgroundSemisupervised and unsupervised anomaly detection methods have been widely used in various applications to detect anomalous objects from a given data set. Specifically, these methods are popular in the medical domain because of their suitability for applications where there is a lack of a...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
JMIR Publications,
2020-08-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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