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

2023-07-16

Abstract excerpt

<h4>Objective</h4> 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, ovarian cyst, and uterine fibroids). <h4>Materials and Methods</h4> We harmonized survey data from the Personaliz...

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Literature Corpus work
e5e56955-d064-5c11-9e62-61b9d61819b4
DOI
10.1101/2023.07.14.23292679
Open publication

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Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forestsDOI 10.1101/2023.07.14.23292679
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