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Applications of deep learning methods in digital biomarker research using noninvasive sensing data
25
Zitationen
6
Autoren
2022
Jahr
Abstract
The integrative digital biomarker will be more useful for research on diseases that require data from multiple sources to be treated together. Since delicate signals from patients are not missed and the interaction effects between signals are also considered, it will be helpful for immediate detection and more accurate prediction of symptoms.
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