Predicting Coronavirus Disease 2019 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach.

Journal: Journal of the American Medical Directors Association
Published Date:

Abstract

OBJECTIVE: Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach.

Authors

  • Christopher L F Sun
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA; Healthcare Systems Engineering, Massachusetts General Hospital, Boston, MA, USA.
  • Eugenio Zuccarelli
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA; Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • El Ghali A Zerhouni
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA; Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Jason Lee
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA; School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • James Muller
    Muller Consulting and Data Analytics, LLC, Washington, DC, USA.
  • Karen M Scott
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Alida M Lujan
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Retsef Levi
    MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge.