School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) > IDAS / Applied Machine Intelligence

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Jump to: 2022 | 2021
Number of items at this level: 5.

2022

Merhbene, Ghofrane; Nath, Sukanya; Puttick, Alexandre Riemann; Kurpicz-Briki, Mascha (2022). BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology Frontiers in Big Data, 5(2022) Frontiers 10.3389/fdata.2022.863100

Haug, Sophie; Kurpicz-Briki, Mascha (2022). Burnout and Depression Detection Using Affective Word List Ratings Studies in health technology and informatics, 292, pp. 43-48. IOS Press 10.3233/SHTI220318

Bernet, Niklaus Stefan; Thomann, Silvia; Kurpicz-Briki, Mascha; Roos, Leonie; Everink, Irma H.J.; Schols, Jos M.G.A.; Hahn, Sabine (2022). Potential of Electronic Medical Record Data for National Quality Measurement In: Bürkle, Thomas; Denecke, Kerstin; Holm, Jürgen; Sariyar, Murat; Lehmann, Michael (eds.) Healthcare of the Future 2022. Studies in Health Technology and Informatics: Vol. 292 (pp. 51-56). IOS Press 10.3233/SHTI220320

Dégallier Rochat, Sarah; Kurpicz-Briki, Mascha; Endrissat, Nada; Yatsenko, Olena (2022). Human augmentation, not replacement: A research agenda for AI and robotics in the industry Frontiers in Robotics and AI, 9, p. 270. Frontiers Research Foundation 10.3389/frobt.2022.997386

2021

Nath, Sukanya; Kurpicz-Briki, Mascha (November 2021). BurnoutWords - Detecting Burnout for a Clinical Setting CS & IT Conference Proceedings, 11(18), pp. 177-191. CS & IT Conference Proceedings 10.5121/csit.2021.111815

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