Abstract
In this technical article, we are proposing ideas those we have been developing of 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.
Footnotes
Email: midiamond{at}augusta.edu
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Posted April 12, 2019.
Deep Learning of Markov Model Based Machines for Determination of Better Treatment Option Decisions for Infertile Women
