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Found 4 papers, 2 papers with code
Similarity-based prediction of Ejection Fraction in Heart Failure Patients
Biomedical research is increasingly employing real world evidence (RWE) to foster discoveries of novel clinical phenotypes and to better characterize long term effect of medical treatments.
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
In this work we apply deep semi-supervised embedded clustering to determine data-driven patient subgroups of heart failure from the electronic health records of 4, 487 heart failure and control patients.
Estimating the effective dimension of large biological datasets using Fisher separability analysis
Modern large-scale datasets are frequently said to be high-dimensional.
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
Large datasets represented by multidimensional data point clouds often possess non-trivial distributions with branching trajectories and excluded regions, with the recent single-cell transcriptomic studies of developing embryo being notable examples.
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