Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 21, 2022

Abstract

BACKGROUND AND OBJECTIVE: The specific aim of this study is to develop machine learning models as a clinical approach for personalized treatment of osteoporosis. The model performance on outcome prediction was compared between four machine learning algorithms.

Authors

  • Yi-Ting Lin
    Unique Potential Gene Education Center, New Taipei City, Taiwan, Republic of China(ยง).
  • Chao-Yu Chu
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei 11031, Taiwan.
  • Kuo-Sheng Hung
    Department of Neurosurgery, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
  • Chi-Hua Lu
    Department of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.
  • Edward M Bednarczyk
    Department of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.
  • 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.

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