ArticleFrontiers in physiology2022
Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review.Current hypertension reports · 2024Pooled it
- Machine learning models for predicting preeclampsia: a systematic review.BMC pregnancy and childbirth · 2024Pooled it
- Construction and comparison of preeclampsia prediction models using logistic regression and machine learning.BMC medical informatics and decision making · 2026Article
- The clinical value of nomogram combined with machine learning models in predicting the progression of hypertensive disorders in pregnancy to severe preeclampsia.Frontiers in global women's health · 2026Article
- Artificial Intelligence-Based Prediction of Preeclampsia Using First-Trimester Biomarkers.Cureus · 2025Article
- Observational
- Machine learning predictive system to predict the risk of developing pre-eclampsia.BMJ health & care informatics · 2025Article
- Review
- Review
- Machine Learning Models to Predict Risk of Maternal Morbidity and Mortality From Electronic Medical Record Data: Scoping Review.Journal of medical Internet research · 2025Article
- First-trimester prediction of early-onset preeclampsia using PAPP-A and mean arterial pressure.Biomolecules & biomedicine · 2025Article
- An Explainable Fuzzy Framework for Assessing Preeclampsia Classification.Biomedicines · 2025Article
- Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies.Healthcare (Basel, Switzerland) · 2025Article
- Review
- Leveraging Machine Learning to Predict and Assess Disparities in Severe Maternal Morbidity in Maryland.Healthcare (Basel, Switzerland) · 2025Article
- Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning.PloS one · 2025Article
- Preeclampsia prediction via machine learning: a systematic literature review.Health systems (Basingstoke, England) · 2025Review
- Review
- A Prospective Study on Risk Prediction of Preeclampsia Using Bi-Platform Calibration and Machine Learning.International journal of molecular sciences · 2024Article
- Deep survival analysis for interpretable time-varying prediction of preeclampsia risk.Journal of biomedical informatics · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.