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Machine Learning-Based Prediction for 4-Year Risk of Metabolic Syndrome in Adults: A Retrospective Cohort Study.

Hui ZhangDandan ChenJing ShaoPing ZouNianqi CuiLeiwen TangXiyi WangDan WangJingjie WuZhihong Ye
Published in: Risk management and healthcare policy (2021)
Overall, this study indicated that the logistic regression model performed as well as the flexible ML-based prediction models at internal validation, while the logistic regression model had the best performance at external validation. For clinical use, when the performance of the logistic regression model is similar to ML-based prediction models, the simplest and more interpretable model should be chosen.
Keyphrases
  • metabolic syndrome
  • machine learning
  • type diabetes
  • cardiovascular disease
  • adipose tissue
  • uric acid