Applications of deep learning methods in digital biomarker research using noninvasive sensing data
Introduction: Noninvasive digital biomarkers are critical elements in digital healthcare in terms of not only the ease of measurement but also their use of raw data. In recent years, deep learning methods have been put to use to analyze these diverse heterogeneous data; these methods include represe...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-11-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076221136642 |