Quantifying the advantage of multimodal data fusion for survival prediction in cancer patients
Νικόλαος Νικολάου, Domingo Salazar, Harish RaviPrakash, Miguel Gonçalves, Rob Mulla, Nikolay Burlutskiy, Natasha Markuzon, Etai Jacob
This study develops a multimodal fusion pipeline that improves survival prediction in cancer patients by outperforming unimodal models using The Cancer Genome Atlas data.
bioRxiv · Jan 8, 2024 · PreprintBioinformatics