Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study.

Journal: JMIR formative research
PMID: 40209178

Abstract

BACKGROUND: Unlike one-snap data collection methods that only identify high-risk patients, machine learning models using time-series data can predict adverse events and aid in the timely management of cancer.

Authors

  • Fan-Ying Chan
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
  • Yi-En Ku
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
  • Wen-Nung Lie
    Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan.
  • Hsiang-Yin Chen
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: shawn@tmu.edu.tw.

Keywords

External Resources

Popular Topics
Recent Journals