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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

BACKGROUND: Semisupervised 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...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J Med Internet Res
Egile Nagusiak: Woldaregay, Ashenafi Zebene, Launonen, Ilkka Kalervo, Albers, David, Igual, Jorge, Årsand, Eirik, Hartvigsen, Gunnar
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: JMIR Publications 2020
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7450372/
https://ncbi.nlm.nih.gov/pubmed/32784179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/18912
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