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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...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| 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 |