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A Machine Learning approach to optimize the assessment of d..:
Eduardo, Maekawa
;
Darragh, Glavin
;
Eoin Martino, Grua
...
Procedia Computer Science. 206 (2022) - p. 111-120 , 2022
Link:
https://doi.org/10.1016/j.procs.2022.09.090
RT Journal T1
A Machine Learning approach to optimize the assessment of depressive symptomatology
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.procs.2022.09.090&Exemplar=1&LAN=DE A1 Eduardo, Maekawa A1 Darragh, Glavin A1 Eoin Martino, Grua A1 Carina Akemi, Nakamura A1 Marcia, Scazufca A1 Ricardo, Araya A1 J, Peters Tim A1 Pepijn, van de Ven PB Elsevier BV YR 2022 SN 1877-0509 JF Procedia Computer Science VO 206 SP 111 OP 120 LK http://dx.doi.org/https://doi.org/10.1016/j.procs.2022.09.090 DO https://doi.org/10.1016/j.procs.2022.09.090 SF ELIB - SuUB Bremen
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