Machine learning model for depression based on heavy metals among aging people: a study with national health and nutrition examination survey 2017-2018

HIGHLIGHTS

  • who: Jinyi Wu from the Huazhong University of Science and Technology, China have published the paper: Machine learning model for depression based on heavy metals among aging people: A study with National Health and Nutrition Examination Survey 2017-2018, in the Journal: (JOURNAL)
  • what: The authors compared 8 different machine_learning algorithms, including Extreme Gradient Boosting (XGBoost), Decision Tree (DT), Support Vector Machine (SVM), Multivariate Adaptive Regression Splines (MARS), Artificial_Neural_Networks (ANN), Boosted Trees (BT), Random Forest (RF), K-Nearest Neighbors (KNN). Contrary to expectations, the results of this study showed that mercury was a protective factor . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?