Predictive model algorithms identifying early and advanced stage ER+/HER2- breast cancer in claims data.

Daniel C Beachler Cynthia de LuiseRuihua YinKelsey GangemiPhilip T CochettiStephan Lanes

Published in: Pharmacoepidemiology and drug safety (2018)

We conducted a validation study and developed predictive models to identify in a claims database cohorts of women with ER+/HER2- ESBC and ASBC. The models identified large cohorts in the claims data that can be used to characterize indications in the evaluation of targeted therapies.

Keyphrases

health insurance
electronic health record
big data
machine learning
estrogen receptor
endoplasmic reticulum
breast cancer cells
adverse drug
childhood cancer