Improved stacking ensemble learning based on feature selection to accurately predict warfarin dose.

Journal: Frontiers in cardiovascular medicine
Published Date: Jan 19, 2024

Abstract

BACKGROUND: With the rapid development of artificial intelligence, prediction of warfarin dose via machine learning has received more and more attention. Since the dose prediction involve both linear and nonlinear problems, traditional machine learning algorithms are ineffective to solve such problems at one time.

Authors

  • Mingyuan Wang
    Department of Pharmacy, Fuwai Yunnan Cardiovascular Hospital, Kunming, China.
  • Yiyi Qian
    Department of Pharmacy, Fuwai Yunnan Cardiovascular Hospital, Kunming, China.
  • Yaodong Yang
    School of Mechanical Engineering (Shandong Institute of Mechanical Design and Research), Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China.
  • Haobin Chen
    Department of Pathology, Qujing First People's Hospital, Qujing, Yunnan, China.
  • Wei-Feng Rao
    School of Mechanical Engineering (Shandong Institute of Mechanical Design and Research), Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals