Using Machine Learning to Predict Linezolid-Associated Thrombocytopenia.

Journal: Infection and drug resistance
Published Date:

Abstract

OBJECTIVE: Using artificial intelligence and machine learning to predict linezolid-induced thrombocytopenia helps identify related risk factors in patients.

Authors

  • Rao Wei
    Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Kexin Li
    Department of Surgery, McGill University, Montreal, Quebec, Canada.
  • Huaguang Wang
    College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China. Electronic address: hgwang@suda.edu.cn.
  • Xinbo Cai
    Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Nian Liu
    Department of Sports, Zhejiang Gongshang University, Hangzhou 310000, Zhejiang, China.
  • Zhuoling An
    Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
  • Hong Zhou
    Department of TCM Orthopedics & Traumatology, Gansu province hospital of TCM, Lanzhou, China.

Keywords

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