Prediction Of Hypertensive Disorders In Pregnancy Based On Placental Growth Factor

TECHNOLOGY AND HEALTH CARE(2021)

Cited 1|Views9
No score
Abstract
BACKGROUND: The prediction of hypertensive disorders in pregnancy (HDP) mainly involves various aspects such as maternal characteristics and biomarkers.OBJECTIVE: We aimed to study the effect of the HDP prediction model with or without placental growth factor (PlGF).METHODS: This study used maternal factors and PlGF, and standardized the data uniformly. At 12-20 weeks, the comprehensive comparison of model quality with or without PlGF was conducted by logistic regression.RESULTS: The area under curve and the model accuracy of the model with PlGF were higher than those of the model without PlGF. The accuracy of the model with PlGF was above 90%.CONCLUSIONS: Adding PlGF to the model for predicting HDP improved the accuracy and effectiveness of the model. This study confirmed the predictive performance of PlGF.
More
Translated text
Key words
Model accuracy, placental growth factor, logistic regression
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined