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 …
Establishment of an Experimental Mouse Model of Endometrioma to Study its Related Infertility.
Endometrioma (OMA), a subtype of endometriosis characterized by the formation of endometriotic cysts in the ovaries, affects 17-44% of individuals diagnosed with endometriosis. Women with OMA often experience compromised fertility, …
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 …