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1 Ergebnisse
1
Optimizing Parkinson's Disease Classification and Severity ..:
, In:
Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City
,
Nguyen, Quoc Duy Nam
;
Tran, Thi Hong
;
Nakano, Tadashi
- p. 64-69 , 2023
Link:
https://dl.acm.org/doi/10.1145/3638985.3638996
RT T1 <cTitle>Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City</cTitle>: T1 <Title>Optimizing Parkinson's Disease Classification and Severity Assessment Using Dense Multiscale Sample Entropy and Hybrid Feature Selection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3638996&Exemplar=1&LAN=DE A1 Nguyen, Quoc Duy Nam A1 Tran, Thi Hong A1 Nakano, Tadashi PB ACM YR 2023 K1 Correlation-based Feature Selection K1 Dense Multiscale Sample Entropy K1 Optimizing Analysis Process K1 Parkinson's Disease K1 Sequential Backward Selection K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Machine learning algorithms SP 64 OP 69 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3638985.3638996 DO https://dl.acm.org/doi/10.1145/3638985.3638996 SF ELIB - SuUB Bremen
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