Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data

Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data

Machine learning and digital health sensing data have led to numerous research achievements aimed at improving digital health technology. However, using machine learning in digital health poses challenges related to data availability, such as incomplete, unstructured, and fragmented data, as well as...

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Bibliographic Details
Main Authors: Lina Chato, Emma Regentova
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Journal of Personalized Medicine
Subjects:
digital health
domain adaptation
feature extraction
federated learning
fine-tune
inductive transfer learning
Online Access:https://www.mdpi.com/2075-4426/13/12/1703

Internet

https://www.mdpi.com/2075-4426/13/12/1703

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