Enhancing Genetic Association Power in Endometriosis through Unsupervised Clustering of Clinical Subtypes Identified from Electronic Health Records.

Lindsay A GuareLeigh Ann HumphreyMargaret RushMeredith PollieYuan LuoChunhua WengWei-Qi WeiLeah C KottyanGail JarvikNoemie Elhadadnull nullnull nullKrina ZondervanStacey MissmerMarijana VujkovicDigna Velez-EdwardsSuneeta SenapatiShefali Setia Verma

Published in: medRxiv : the preprint server for health sciences (2024)

for the EHR-asymptomatic cluster. This study enhances our understanding of the clinical presentation patterns of endometriosis subtypes, showcasing the innovative approach employed to investigate this complex disease.

Keyphrases

electronic health record
clinical decision support
machine learning
adverse drug
genome wide
gene expression
single cell
rna seq
dna methylation