Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures.

Journal: Frontiers in artificial intelligence
Published Date:

Abstract

INTRODUCTION: Even with modern advancements in medical care, one of the persistent challenges hospitals face is the frequent readmission of patients. These recurrent admissions not only escalate healthcare expenses but also amplify mental and emotional strain on patients.

Authors

  • Jigar Adhiya
    Industrial and Systems Engineering Department, Kate Gleason College of Engineering, Rochester Institute of Technology (RIT), Rochester, NY, United States.
  • Behrad Barghi
    Industrial and Systems Engineering Department, Kate Gleason College of Engineering, Rochester Institute of Technology (RIT), Rochester, NY, United States.
  • Nasibeh Azadeh-Fard
    Industrial and Systems Engineering Department, Kate Gleason College of Engineering, Rochester Institute of Technology (RIT), Rochester, NY, United States.

Keywords

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