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Analysis of Feature Importances for Automatic Generation of..:
, In:
Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
,
Kaneko, Haru
;
Hossain, Tahera
;
Inoue, Sozo
- p. 316-321 , 2021
Link:
https://dl.acm.org/doi/10.1145/3460418.3479354
RT T1 <cTitle>Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Analysis of Feature Importances for Automatic Generation of Care Records</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3479354&Exemplar=1&LAN=DE A1 Kaneko, Haru A1 Hossain, Tahera A1 Inoue, Sozo PB ACM YR 2021 K1 Care Record K1 Feature Importance K1 Machine Learning K1 Nursing Cara Facilities K1 Applied computing K1 Life and medical sciences K1 Health care information systems SP 316 OP 321 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3460418.3479354 DO https://dl.acm.org/doi/10.1145/3460418.3479354 SF ELIB - SuUB Bremen
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