Deep Learning of Markov Model-Based Machines for Determination of Better Treatment Option Decisions for Infertile Women.

Journal: Reproductive sciences (Thousand Oaks, Calif.)
Published Date:

Abstract

In this technical article, we are proposing ideas, that we have been developing on how machine learning and deep learning techniques can potentially assist obstetricians/gynecologists in better clinical decision-making, using infertile women in their treatment options in combination with mathematical modeling in pregnant women as examples.

Authors

  • Arni S R Srinivasa Rao
    Division of Health Economics and Modeling, Department of Population Health Sciences, Medical College of Georgia, Augusta University, 1120, 15th Street, AE 1015, Augusta, GA, 30912, USA. arrao@augusta.edu.
  • Michael P Diamond
    Medical College of Georgia, Augusta University, 1120 15th Street, CJ-1036, Augusta, Georgia.