Novel Algorithm for the Estimation of Cancer Incidence Using Claims Data in Japan: A Feasibility Study.

Toshio Ogawa Hirokazu TakahashiHiroshi SaitoMotoyasu SagawaDaisuke AokiKazuo MatsudaTomio NakayamaYoshio KasaharaKatsuaki KatoEiko Saitoh Aoki Tohru Morisada Kumiko Saika Norie Sawada Yasushi Matsumura Tomotaka Sobue

Published in: JCO global oncology (2023)

The novel algorithms are effective for extracting information about patients with cancer from claims data by using the combined information on diagnosis, procedures, and medicines (algorithm 2), with 2-year cancer-treatment history as an exclusion criterion (extract 2).

Keyphrases

machine learning
deep learning
big data
health insurance
electronic health record
papillary thyroid
health information
risk factors
artificial intelligence
oxidative stress
squamous cell carcinoma
data analysis
neural network
young adults
childhood cancer