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1 Ergebnisse
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Detecting Depression and Predicting its Onset Using Longitu..:
Chikersal, Prerna
;
Doryab, Afsaneh
;
Tumminia, Michael
...
ACM Transactions on Computer-Human Interaction (TOCHI). 28 (2021) 1 - p. 1-41 , 2021
Link:
https://dl.acm.org/doi/10.1145/3422821
RT Journal T1 <Title>Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing : A Machine Learning Approach With Robust Feature Selection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3422821&Exemplar=1&LAN=DE A1 Chikersal, Prerna A1 Doryab, Afsaneh A1 Tumminia, Michael A1 Villalba, Daniella K. A1 Dutcher, Janine M. A1 Liu, Xinwen A1 Cohen, Sheldon A1 Creswell, Kasey G. A1 Mankoff, Jennifer A1 Creswell, J. David A1 Goel, Mayank A1 Dey, Anind K. PB ACM YR 2021 SN 1073-0516 SN 1557-7325 K1 Mobile sensing K1 depression K1 feature selection K1 machine learning K1 mental health K1 mobile health K1 Human-centered computing K1 Human computer interaction (HCI) K1 Computing methodologies K1 Machine learning JF ACM Transactions on Computer-Human Interaction (TOCHI) VO 28 IS 1 SP 1 OP 41 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3422821 DO https://dl.acm.org/doi/10.1145/3422821 SF ELIB - SuUB Bremen
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