Deep Learning for Identification of Acute Illness and Facial Cues of Illness

Background: The inclusion of facial and bodily cues (clinical gestalt) in machine learning (ML) models improves the assessment of patients' health status, as shown in genetic syndromes and acute coronary syndrome. It is unknown if the inclusion of clinical gestalt improves ML-based classificati...

Descripción completa

Detalles Bibliográficos
Autores principales: Forte, Castela, Voinea, Andrei, Chichirau, Malina, Yeshmagambetova, Galiya, Albrecht, Lea M., Erfurt, Chiara, Freundt, Liliane A., Carmo, Luisa Oliveira e, Henning, Robert H., van der Horst, Iwan C. C., Sundelin, Tina, Wiering, Marco A., Axelsson, John, Epema, Anne H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350122/
https://www.ncbi.nlm.nih.gov/pubmed/34381793
http://dx.doi.org/10.3389/fmed.2021.661309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350122/
https://www.ncbi.nlm.nih.gov/pubmed/34381793
http://dx.doi.org/10.3389/fmed.2021.661309

Ejemplares similares