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

• Main Authors: Woldaregay, Ashenafi Zebene (Author), Launonen, Ilkka Kalervo (Author), Albers, David (Author), Igual, Jorge (Author), Årsand, Eirik (Author), Hartvigsen, Gunnar (Author)
• Format: Book
• Published: JMIR Publications, 2020-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...