Comprehensive Approach with Machine Learning Techniques to Investigate Early-Onset Preeclampsia and Its Long-Term Cardiovascular Implications

Preeclampsia (PE), a major cause of perinatal morbidity and mortality, is frequently under-recognized as an early indicator of future cardiovascular (CV) disease. This study examines early-onset preeclampsia (eoPE) across three phases—pre-pregnancy, diagnosis, and follow-up—to dynamically reclassify...

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Autors principals:	Paula Domínguez-del Olmo, Ignacio Herraiz, Cecilia Villalaín, Alberto Galindo, Mailyn Moreno-Espino, Jose Luis Ayala
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-08-01
Col·lecció:	Applied Sciences
Matèries:	preeclampsia machine-learning risk prediction cardiovascular metaheuristic
Accés en línia:	https://www.mdpi.com/2076-3417/15/16/8887
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