Abstract
Authors: Adesh Kadambi, Isabel Fulcher, Jonathan Schor, Ali Ebrahim, Senan Ebrahim, Timothy Wen
Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2023
Key Findings: GDM can be predicted with moderate discrimination using machine learning models trained on nulliparous patient available at the first prenatal visit. Our model outperforms the current early GDM screening parameters and can ultimately assist screening to predict a diagnosis for earlier management.
Abstract
Authors: Adesh Kadambi, Isabel Fulcher, Jonathan Schor, Ali Ebrahim, Senan Ebrahim, Timothy Wen
Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2023
Key Findings: GDM can be predicted with moderate discrimination using machine learning models trained on nulliparous patient available at the first prenatal visit. Our model outperforms the current early GDM screening parameters and can ultimately assist screening to predict a diagnosis for earlier management.
Abstract
Authors: Adesh Kadambi, Isabel Fulcher, Jonathan Schor, Ali Ebrahim, Senan Ebrahim, Timothy Wen
Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2023
Key Findings: GDM can be predicted with moderate discrimination using machine learning models trained on nulliparous patient available at the first prenatal visit. Our model outperforms the current early GDM screening parameters and can ultimately assist screening to predict a diagnosis for earlier management.
Abstract
Authors: Adesh Kadambi, Isabel Fulcher, Jonathan Schor, Ali Ebrahim, Senan Ebrahim, Timothy Wen
Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2023
Key Findings: GDM can be predicted with moderate discrimination using machine learning models trained on nulliparous patient available at the first prenatal visit. Our model outperforms the current early GDM screening parameters and can ultimately assist screening to predict a diagnosis for earlier management.
Abstract
Authors: Adesh Kadambi, Isabel Fulcher, Jonathan Schor, Ali Ebrahim, Senan Ebrahim, Timothy Wen
Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2023
Key Findings: GDM can be predicted with moderate discrimination using machine learning models trained on nulliparous patient available at the first prenatal visit. Our model outperforms the current early GDM screening parameters and can ultimately assist screening to predict a diagnosis for earlier management.
Abstract