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Related Experiment Video

Updated: May 14, 2026

A Novel Use of Three-dimensional High-frequency Ultrasonography for Early Pregnancy Characterization in the Mouse
07:04

A Novel Use of Three-dimensional High-frequency Ultrasonography for Early Pregnancy Characterization in the Mouse

Published on: October 24, 2017

Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation

Shijin Xu1, Yan Jiang2, Qiaoyu Zhang1

  • 1Department of Ultrasound Imaging, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, No. 183 Yiling Road, Yichang, 443000, China, 86 19071786542.

JMIR Medical Informatics
|May 13, 2026
PubMed
Summary

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This summary is machine-generated.

This study developed an interpretable AI tool to predict adverse pregnancy outcomes (APOs) in patients with immune abnormalities. Key predictors include early pregnancy measurements and complication history, aiding clinical intervention.

Area of Science:

  • Reproductive Immunology
  • Medical Artificial Intelligence
  • Clinical Obstetrics

Background:

  • Pregnancy maintenance requires immune homeostasis at the maternal-fetal interface.
  • Autoimmune abnormalities disrupt this balance, increasing the risk of adverse pregnancy outcomes (APOs).

Purpose of the Study:

  • Develop an interpretable predictive tool for APOs in patients with immune abnormalities.
  • Utilize Shapley additive explanations (SHAP) for model interpretability.

Main Methods:

  • Retrospective analysis of clinical data from 288 patients with autoimmune abnormalities.
  • Boruta algorithm and LASSO regression for feature selection.
  • Development and comparative evaluation of nine machine learning models, including extreme gradient boosting.
Keywords:
MLimmune abnormalitiesmachine learningpregnancy outcomesultrasound features

Related Experiment Videos

Last Updated: May 14, 2026

A Novel Use of Three-dimensional High-frequency Ultrasonography for Early Pregnancy Characterization in the Mouse
07:04

A Novel Use of Three-dimensional High-frequency Ultrasonography for Early Pregnancy Characterization in the Mouse

Published on: October 24, 2017

Main Results:

  • The extreme gradient boosting model was identified as optimal.
  • SHAP analysis revealed key predictors: crown-rump length, number of other drugs, pregnancy complications, gestational sac volume, and yolk sac diameter change.
  • 124 out of 288 patients (43.06%) experienced APOs.

Conclusions:

  • An interpretable predictive tool for APOs in immune-abnormal patients was successfully developed.
  • This tool can assist clinicians in making timely early intervention decisions.