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1 Ergebnisse
1
TATC : Predicting Alzheimer's Disease with Actigraphy Da..:
, In:
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Li, Jia
;
Rong, Yu
;
Meng, Helen
... - p. 509-518 , 2018
Link:
https://dl.acm.org/doi/10.1145/3219819.3219831
RT T1 <cTitle>Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>TATC : Predicting Alzheimer's Disease with Actigraphy Data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3219831&Exemplar=1&LAN=DE A1 Li, Jia A1 Rong, Yu A1 Meng, Helen A1 Lu, Zhihui A1 Kwok, Timothy A1 Cheng, Hong PB ACM YR 2018 K1 actigraphy data K1 alzheimer's disease K1 attention K1 circadian rhythm K1 Information systems K1 Information systems applications K1 Data mining K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 509 OP 518 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3219819.3219831 DO https://dl.acm.org/doi/10.1145/3219819.3219831 SF ELIB - SuUB Bremen
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