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Roy Saurabh

Publications

Data preprocessing and machine learning in wearable data analysis: assessing efficacy and challenges for mental health monitoring of healthcare professionals

År
17 december 2024
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Author
Venue
Université Paris Cité

Doktorandforskning om vad data från bärbara sensorer kan och inte kan bära när frågan är klinisk risk.

Författare: Roy Saurabh

Sammanfattning

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.

Underlag

Källor

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  1. 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.

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  2. 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.

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Relaterade arbeten

Relaterade arbeten

2019

The Alternate Education for the 21st Century

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