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

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...

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Bibliographic Details
Main Authors: Castela Forte, Andrei Voinea, Malina Chichirau, Galiya Yeshmagambetova, Lea M. Albrecht, Chiara Erfurt, Liliane A. Freundt, Luisa Oliveira e Carmo, Robert H. Henning, Iwan C. C. van der Horst, Tina Sundelin, Marco A. Wiering, John Axelsson, Anne H. Epema
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Medicine
Subjects:
gestalt
deep learning
facial analysis
synthetic data
acute illness
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.661309/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.661309/full

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