Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India.

Journal: BMC public health
Published Date:

Abstract

BACKGROUND: Machine learning (ML) algorithms have been successfully employed for prediction of outcomes in clinical research. In this study, we have explored the application of ML-based algorithms to predict cause of death (CoD) from verbal autopsy records available through the Million Death Study (MDS).

Authors

  • Susan Idicula-Thomas
    Biomedical Informatics Center of Indian Council of Medical Research, National Institute for Research in Reproductive Health, Mumbai-400012, India thomass@nirrh.res.in.
  • Ulka Gawde
    Biomedical Informatics Centre, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, 400012, India.
  • Prabhat Jha
    Centre for Global Health Research, St.Michael's Hospital, Toronto, Canada.