Publications
Recherche doctorale sur ce que les données de capteurs portés permettent, et ne permettent pas, d'affirmer lorsque la question est le risque clinique.
Auteurs: Roy Saurabh
Doctoral thesis examining the efficacy and the limits of data-processing and machine-learning methods applied to wearable device data, for monitoring the mental health of frontline healthcare professionals during COVID-19. The work encodes time-series data using Gramian Angular Field transformation for convolutional models, and reports 97.01% classification accuracy in distinguishing at-risk from non-at-risk cases against clinical thresholds.
Preuves
Ce que chaque document établit, et où le consulter.
theses.fr
Thesis record s310267
Doctorate awarded by Université Paris Cité, defended 17 December 2024, in Mathematics and Computer Science, supervised by François Taddei and Harri Ketamo.
ABES
Thesis DOI record
Registers the thesis against ORCID 0000-0003-3439-7731 with affiliation Université Paris Cité, confirming that the indexed author name 'Saurabh Roy' is the same researcher.
Travaux liés
2026
Digital Skills and Jobs Platform, European Commission
Une analyse approfondie pour la plateforme de compétences de la Commission européenne : où l'IA clinique est réellement utile, et quelle assurance les soins réglementés doivent en exiger.
PolicyAuthor
2019
2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
Early work connecting cognitive science and socio-emotional learning to digital pedagogy.
PublicationsCo-author
2019
UNESCO MGIEP
How a learning platform used machine learning to connect knowledge across a UNESCO institute's work.
ReportsAuthor