Article
Development of Biologically Interpretable Multimodal Deep Learning Model for Cancer Prognosis Prediction
2021-11-02
Abstract excerpt
<h4>ABSTRACT</h4> Robust cancer prognostication can enable more effective patient care and management, which may potentially improve health outcomes. Deep learning has proven to be a powerful tool to extract meaningful information from cancer patient data. In recent years it has displayed promise in quantifying prognostication by predicting patient risk. However, most current deep learning-based cancer prognosis...
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Identifiers and source
- Literature Corpus work
- 5e3250de-5465-5121-be93-20ed03f78dd4
- DOI
- 10.1101/2021.10.30.466610
