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...

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Detalles Bibliográficos
Autores principales: Jeong, Hoyeon, Jeong, Yong W, Park, Yeonjae, Kim, Kise, Park, Junghwan, Kang, Dae R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638529/
https://www.ncbi.nlm.nih.gov/pubmed/36353696
http://dx.doi.org/10.1177/20552076221136642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638529/
https://www.ncbi.nlm.nih.gov/pubmed/36353696
http://dx.doi.org/10.1177/20552076221136642

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