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

Lauren E. Chan, Elena Casiraghi, Justin T. Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde, Giorgio Valentini, Charles Schmitt, Alison A. Motsinger-Reif, Janet E. Hall, Christopher J. Mungall, Peter N. Robinson, Melissa A. Haendel

Abstract: Highlights•Ontology encoded survey data can be analyzed by knowledge graphs and machine learning.•Knowledge graph analyses identify potential factors impacting reproductive disorders.•Female reproductive disorder and lifestyle factor relationships need further research.