Assessing eligibility for lung cancer screening: Parsimonious multi-country ensemble machine learning models for lung cancer prediction
Thomas Callender(George Institute for Global Health), Sam M. Janes(Living Streets), Neal Navani(University College London Hospitals NHS Foundation Trust), Mihaela van der Schaar(University of California, Los Angeles), Bogdan Cebere(University of Cambridge), Fergus Imrie(University of California, Los Angeles), Nora Pashayan(MRC Epidemiology Unit)
Cited by 8
Related Papers
Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis
|The Lancet|2015|3.7k
Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci
|Nature Genetics|2018|1k
Single-cell multi-omics analysis of the immune response in COVID-19
|Nature Medicine|2021|826
Personalized early detection and prevention of breast cancer: ENVISION consensus statement
|Nature Reviews Clinical Oncology|2020|434