Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care.

Urmila Chandran Jenna Marie Reps Robert Yang Anil Vachani Fabien Maldonado Iftekhar Kalsekar

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

This internally and externally validated real-world data-based lung cancer prediction model is available on an open-source platform for broad sharing and application. Model integration into an EHR system could minimize physician burden by automating identification of high-risk patients.

Keyphrases

electronic health record
machine learning
end stage renal disease
big data
ejection fraction
healthcare
newly diagnosed
chronic kidney disease
emergency department
primary care
palliative care
artificial intelligence
prognostic factors
social media
clinical practice
high throughput
pain management
patient reported