Machine-learning-based prediction of pre-eclampsia using first-trimester maternal characteristics and biomarkers.
Objective: To evaluate the accuracy of predicting the risk of developing pre-eclampsia (PE) according to first-trimester maternal demographic characteristics, medical history and biomarkers using artificial-intelligence and machine-learning methods.Methods: The data were derived from prospective non...
| Publicado en: | Ultrasound in Obstetrics & Gynecology Vol. 60; no. 6; pp. 739 - 746 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |