https://www.selleckchem.com/products/erastin.html
To make early predictions of preeclampsia before diagnosis, we developed and validated a new nomogram for the early prediction of preeclampsia in pregnant Chinese women. A stepwise regression model was used for feature selection. Multivariable logistic regression analysis was used to develop the prediction model. We incorporated BMI, blood pressure, uterine artery ultrasound parameters, and serological indicator risk factors, and this was presented with a nomogram. The performance of the nomogram was assessed with respect to its calibra
Like
Comment
Share
