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Synergies between Case-based Reasoning and Deep Learning for Survival Analysis in Oncology

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2024
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Fall Poster Symposium
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FRS_2024_03.pdf
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http://hdl.handle.net/20.500.12648/15706
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Survival analysis is routinely used in medicine to stratify patients in groups based on risk and has paramount importance in patient stratification and treatment. This work combines bidirectional Long Short-Term Memory LSTM and case-based reasoning to provide accurate and interpretable survival predictions that perform better than state-of-the-art survival analysis methods.
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