Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non–small Cell Lung Cancer Using Real-World Data

Authors: M. Field, S. Vinod, G. P. Delaney, N. Aherne, M. Bailey, M. Carolan, A. Dekker, S. Greenham, E. Hau, J. Lehmann, J. Ludbrook, A. Miller, A. Rezo, J. Selvaraj, J. Sykes, D. Thwaites, L. Holloway

Published in: Clinical Oncology

DOI / Publisher link: https://doi.org/10.1016/j.clon.2024.03.008

Keywords: Decision support, federated learning, lung cancer, machine learning, radiation oncology

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Recommended citation: M. Field, S. Vinod, G. P. Delaney, N. Aherne, M. Bailey, M. Carolan, A. Dekker, S. Greenham, E. Hau, J. Lehmann, J. Ludbrook, A. Miller, A. Rezo, J. Selvaraj, J. Sykes, D. Thwaites, L. Holloway (2024). "Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non–small Cell Lung Cancer Using Real-World Data." Clinical Oncology. 36(7), e197-e208.
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