MultiSigBERT: Beyond Survival Analysis through Multimodal and Sequential Modeling in Oncology
This work proposes MultiSigBERT, a unified framework for multimodal sequential survival modeling in oncology based on path signature representations that achieves a concordance index of 0.743 on an independent test set, demonstrating the benefit of jointly modeling multimodal temporal dynamics together with patient-level geometric structure for survival prediction.
Paul Minchella, Stéphane Chrétien, Guillaume Metzler et al.
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