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Prediction of declining engagement to self-monitoring apps ..:
, In:
2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
,
Schleicher, Miro
;
Hamacher, Sebastian
;
Naujoks, Mats
... - p. 228-233 , 2022
Link:
https://doi.org/10.1109/CBMS55023.2022.00047
RT T1 <cTitle>2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)</cTitle>: T1 <Title>Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9867055&Exemplar=1&LAN=DE A1 Schleicher, Miro A1 Hamacher, Sebastian A1 Naujoks, Mats A1 Gunther, Kolja A1 Schmidt, Timo A1 Pryss, Ruediger A1 Schobel, Johannes A1 Schlee, Winfried A1 Spiliopoulou, Myra YR 2022 SN 2372-9198 K1 Dictionaries K1 Time series analysis K1 Prediction algorithms K1 Adherence K1 mHealth K1 Time series classification K1 Time series with large gaps K1 Informative missingness SP 228 OP 233 LK http://dx.doi.org/https://doi.org/10.1109/CBMS55023.2022.00047 DO https://doi.org/10.1109/CBMS55023.2022.00047 SF ELIB - SuUB Bremen
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