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Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests.

Female reproductive disorders (FRDs) are common health conditions that may present with significant symptoms. Diet and environment are potential areas for FRD interventions. We utilized a knowledge graph (KG) method …

Published: April 17, 2024, midnight
Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis.

Background: Endometriosis (EM) is a common gynecological condition in women of reproductive age, with diverse causes and a not yet fully understood pathogenesis. Traditional diagnostics rely on single diagnostic biomarkers …

Published: Nov. 27, 2023, midnight
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