Data - Knowledge driven machine learning model for cancer pain medication decisions.

Journal: International journal of medical informatics
PMID: 39642589

Abstract

BACKGROUND: Cancer pain is one of the most common symptoms in cancer patients, and drug decision-making in cancer pain management remains challenges. This study aims to develop machine learning models using real-world clinical data and prior knowledge to support drug decision-making in cancer pain management.

Authors

  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.
  • Hui-Min Yu
    Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China; Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China; The Hunan Institute of Practice and Clinical Research, China.
  • Jing-Yang Li
    Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China; Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China; The Hunan Institute of Practice and Clinical Research, China.
  • Ling Huang
    School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510640, China.
  • Shu-Qiao Cheng
    Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China; Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China; The Hunan Institute of Practice and Clinical Research, China.
  • Jian Xiao
    School of Nursing, Wenzhou Medical University, Wenzhou 325035, China.

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