Utility of a Clinically Guided Data-Driven Approach for Predicting Breast Cancer Complications: An Application Using a Population-Based Claims Data Set.

Daniel PichardoRuss MichaelMichele MercerNatalia KorinaEberechukwu Onukwugha

Published in: JCO clinical cancer informatics (2022)

Prediction models developed using big data methods and grounded in a clinically guided framework have the potential to reliably predict short-term treatment-related AEs among women diagnosed with BCa.

Keyphrases

big data
artificial intelligence
machine learning
polycystic ovary syndrome
health insurance
risk factors
breast cancer risk
electronic health record
pregnant women
skeletal muscle
deep learning
human health
replacement therapy
young adults
drug induced
smoking cessation