Dissatisfaction-considered waiting time prediction for outpatients with interpretable machine learning

HIGHLIGHTS

• What: The authors aim to analytically interpret the waiting times predicted by machine learning models and provide patients with an explanation of the expected waiting time. The authors propose a framework considering dissatisfaction for estimating the waiting time in an outpatient department. This approach has at least two limitations. The authors investigate the importance of features on waiting time prediction and discuss the theoretical and practical implications of the analysis results in this paper.
• Who: Jongkyung Shin et al. from the Department first-time outpatient ratio (Q D ) have published the research work: Dissatisfaction-considered . . .
  

   

  

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