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

OBJECTIVE: 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 to predict factors associated with common FRDs (e.g., endometriosis, ovar...

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Detalles Bibliográficos
Autores principales: Chan, Lauren E, Casiraghi, Elena, Putman, Tim, Reese, Justin, Harmon, Quaker E., Schaper, Kevin, Hedge, Harshad, Valentini, Giorgio, Schmitt, Charles, Motsinger-Reif, Alison, Hall, Janet E, Mungall, Christopher J, Robinson, Peter N, Haendel, Melissa A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371183/
https://www.ncbi.nlm.nih.gov/pubmed/37502882
http://dx.doi.org/10.1101/2023.07.14.23292679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371183/
https://www.ncbi.nlm.nih.gov/pubmed/37502882
http://dx.doi.org/10.1101/2023.07.14.23292679

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