Haendel MA

No ORCID on file · 2 papers in corpus
other 2024
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests
International journal of medical informatics ·doi:10.1016/j.ijmedinf.2024.105461

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 fa…

preprint 2023
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests
medRxiv : the preprint server for health sciences ·doi:10.1101/2023.07.14.23292679

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 fa…