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

Lauren E Chan Elena Casiraghi Timothy Putman Justin T ReeseQuaker E HarmonKevin SchaperHarshad HedgeGiorgio Valentini Charles P Schmitt Allison A Motsinger-Reif Janet E Hall Christopher John Mungall Peter Nick Robinson Melissa A Haendel

Published in: medRxiv : the preprint server for health sciences (2023)

This investigation enabled the generation of hypotheses on a variety of potential links between FRDs and exposures. Future investigations should prospectively evaluate the variables hypothesized to impact FRDs.

Keyphrases

human health
climate change
healthcare
air pollution
physical activity
current status
neural network
risk assessment
convolutional neural network