Identifying the Relative Importance of Factors Influencing Medication Compliance in General Patients Using Regularized Logistic Regression and LightGBM: Web-Based Survey Analysis.

Journal: JMIR formative research
PMID: 39715551

Abstract

BACKGROUND: Medication compliance, which refers to the extent to which patients correctly adhere to prescribed regimens, is influenced by various psychological, behavioral, and demographic factors. When analyzing these factors, challenges such as multicollinearity and variable selection often arise, complicating the interpretation of results. To address the issue of multicollinearity and better analyze the importance of each factor, machine learning methods are considered to be useful.

Authors

  • Haru Iino
    Division of Drug Informatics, Faculty of Pharmacy and Graduate School of Pharmaceutical Sciences, Keio University, Tokyo, Japan.
  • Hayato Kizaki
    Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan.
  • Shungo Imai
    Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan.
  • Satoko Hori
    Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan.

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