Machine learning prediction on number of patients due to conjunctivitis based on air pollutants: a preliminary study.

Journal: European review for medical and pharmacological sciences
Published Date: Oct 1, 2020

Abstract

OBJECTIVE: A prediction of the number of patients with conjunctivitis plays an important role in providing adequate treatment at the hospital, but such accurate predictive model currently does not exist. The current study sought to use machine learning (ML) prediction based on past patient for conjunctivitis and several air pollutants. The optimal machine learning prediction model was selected to predict conjunctivitis-related number patients.

Authors

  • J Chen
    Neurosurgery (J.C.).
  • Y Cheng
  • M Zhou
    From the Stanford Center for Biomedical Informatic Research (M.Z., O.G.).
  • L Ye
    Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University,Nanning 530021, Guangxi,China.
  • N Wang
  • M Wang
  • Z Feng

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