Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers

INTRODUCTION: Intelligent ambulatory tracking can assist in the automatic detection of psychological and emotional states relevant to the mental health changes of professionals with high-stakes job responsibilities, such as healthcare workers. However, well-known differences in the variability of am...

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Detalles Bibliográficos
Autores principales: Paromita, Projna, Mundnich, Karel, Nadarajan, Amrutha, Booth, Brandon M., Narayanan, Shrikanth S., Chaspari, Theodora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289192/
https://www.ncbi.nlm.nih.gov/pubmed/37363272
http://dx.doi.org/10.3389/fdgth.2023.1195795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289192/
https://www.ncbi.nlm.nih.gov/pubmed/37363272
http://dx.doi.org/10.3389/fdgth.2023.1195795

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