AI predicts preterm birth risk with 82% accuracy
Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with key predictors including inflammation and blood composition markers.
Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with key predictors including inflammation and blood composition markers.