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

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)763-770
Number of pages8
JournalReproductive Sciences
Volume27
Issue number2
DOIs
StatePublished - Feb 1 2020

Keywords

  • AI in medicine
  • Machine learning
  • State spaces

ASJC Scopus subject areas

  • Obstetrics and Gynecology

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