Machine Learning Methods to Identify Missed Cases of Bladder Cancer in Population-Based Registries.

Anne-Michelle NooneClara J K LamAngela B SmithMatthew E NielsenEric BoydAngela B MariottoMousumi Banerjee

Published in: JCO clinical cancer informatics (2021)

SEER cancer registries may potentially miss bladder cancer cases during routine reporting. These missed cases can be identified leveraging Medicare claims and data analytics, leading to more accurate estimates of bladder cancer incidence.

Keyphrases

machine learning
big data
papillary thyroid
risk factors
artificial intelligence
health insurance
high resolution
squamous cell carcinoma
clinical practice
adverse drug
mass spectrometry
childhood cancer
lymph node metastasis