Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features

Research article (Heliyon, 2023) · cited 16× · AI/ML
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Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features

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Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features. Retrieved May 24, 2026, from https://4ort.xyz/entity/metabolic-syndrome-prediction-model-using-bayesian-optimization-and-xgboost-based-on-traditional-chinese-medicine-featur
MLA “Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/metabolic-syndrome-prediction-model-using-bayesian-optimization-and-xgboost-based-on-traditional-chinese-medicine-featur.
BibTeX @misc{4ortxyz_metabolic-syndrome-prediction-model-using-bayesian-optimization-and-xgboost-based-on-traditional-chinese-medicine-featur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features}}, year = {2026}, url = {https://4ort.xyz/entity/metabolic-syndrome-prediction-model-using-bayesian-optimization-and-xgboost-based-on-traditional-chinese-medicine-featur}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features — https://4ort.xyz/entity/metabolic-syndrome-prediction-model-using-bayesian-optimization-and-xgboost-based-on-traditional-chinese-medicine-featur (retrieved 2026-05-24)

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