Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study
Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing multimodal data…
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