Fernando Buarque de Lima Neto

Machine Learning for Early Detection of Preeclampsia and Gestational Diabetes from Routine Clinical Data and Paternal Immunological Proxies: A Systematic Literature Review

Systematic literature review (PROSPERO CRD420251061201) of machine-learning prediction models for preeclampsia (PE) and gestational diabetes (GDM) using routinely collected clinical data, with paternal and partner variables as a primary analytic axis. 446 studies were screened ac...