Evaluation of algorithms using automated health plan data to identify breast cancer recurrences.

Erin J Aiello Bowles Candyce H Kroenke Jessica Chubak Jenna Bhimani Kelli O'Connell Susan D Brandzel Emily Valice Rachael P Burganowski-Doud Mary Kay Theis Janise M Roh Narre Heon Sonia Persaud Jennifer J Griggs Elisa V Bandera Lawrence H Kushi Elizabeth D Kantor

Published in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2023)

Researchers should consider tradeoffs between accuracy and manual chart abstraction resources when using previously developed algorithms. We provided guidance for future studies that use breast cancer recurrence algorithms with or without supplemental manual chart abstraction.

Keyphrases

machine learning
deep learning
big data
artificial intelligence
healthcare
public health
mental health
current status
electronic health record
high throughput
health information
risk assessment
free survival
data analysis
health promotion
single cell