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Multi-Class Classification of Metabolic Syndrome Group Usin..:
, In:
2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
,
Sukchayanan, Captain
;
Arwatchananukul, Sujitra
;
Temdee, Punnarumol
- p. 564-567 , 2023
Link:
https://doi.org/10.1109/ECTIDAMTNCON57770.2023.1013953
RT T1
2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
: T1
Multi-Class Classification of Metabolic Syndrome Group Using Gradient Boosting
UL https://suche.suub.uni-bremen.de/peid=ieee-10139537&Exemplar=1&LAN=DE A1 Sukchayanan, Captain A1 Arwatchananukul, Sujitra A1 Temdee, Punnarumol YR 2023 SN 2768-4644 K1 Support vector machines K1 Boosting K1 Blood pressure K1 Diabetes K1 Decision trees K1 Cardiovascular diseases K1 Random forests K1 Machine learning K1 gradient boosting K1 metabolic syndrome K1 diabetes K1 cardiovascular K1 hypertension SP 564 OP 567 LK http://dx.doi.org/https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139537 DO https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139537 SF ELIB - SuUB Bremen
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