Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence.

Journal: International journal of clinical pharmacy
PMID:

Abstract

BACKGROUND: Venlafaxine is frequently prescribed for patients with depression. To control the concentration of venlafaxine within the therapeutic window for the best treatment effect, a model to predict venlafaxine concentration is necessary.

Authors

  • Luyao Chang
    Department of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Yuhua District, Shijiazhuang, 066003, China.
  • Xin Hao
    Dalian Medicinovo Technology Co., Ltd, Dalian, China.
  • Jing Yu
    Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Jinyuan Zhang
    Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Yimeng Liu
    Department of Pediatric Surgery, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Nanming, Guiyang, Guizhou 550002, China.
  • Xuxiao Ye
    Department of Urology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ze Yu
    Beijing Medicinovo Technology Co. Ltd., Beijing, China.
  • Fei Gao
    College of Biological Sciences, China Agricultural University, Beijing 100193, China.
  • Xiaolu Pang
    Department of Physical Diagnostics, Hebei Medical University, Shijiazhuang, China.
  • Chunhua Zhou
    Departement of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha 410013, China.