DepreST-CAT
نویسندگان
چکیده
The rates of mental illness, especially anxiety and depression, have increased greatly since the start COVID-19 pandemic. Traditional illness screening instruments are too cumbersome biased to screen an entire population. In contrast, smartphone call text logs passively capture communication patterns thus represent a promising alternative. To facilitate advancement such research, we collect curate DepreST Call Text log (DepreST-CAT) dataset from over 365 crowdsourced participants during labeled with traditional depression scores essential for training machine learning models. We construct time series ranging 2 16 weeks in length retrospective logs. demonstrate capabilities these series, then train variety unimodal multimodal deep These models provide insights into relative value different types logs, lengths classification methods. DepreST-CAT is valuable resource research community model pandemic further development algorithms passive screening.
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ژورنال
عنوان ژورنال: Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies
سال: 2022
ISSN: ['2474-9567']
DOI: https://doi.org/10.1145/3534596