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Published in 2020 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-019-1008-4
Abstract: Background We used the Surveillance, Epidemiology, and End Results (SEER) database to develop and validate deep survival neural network machine learning (ML) algorithms to predict survival following a spino-pelvic chondrosarcoma diagnosis. Methods The SEER 18…
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Keywords:
index;
validation;
pelvic chondrosarcoma;
deep survival ... See more keywords