Search Results for author: Luca Albergante

Found 4 papers, 2 papers with code

Similarity-based prediction of Ejection Fraction in Heart Failure Patients

no code implementations14 Mar 2022 Jamie Wallis, Andres Azqueta-Gavaldon, Thanusha Ananthakumar, Robert Dürichen, Luca Albergante

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

no code implementations24 Dec 2020 Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia Khan, Benjamin Irving

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.


Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph

2 code implementations20 Apr 2018 Luca Albergante, Evgeny M. Mirkes, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Zinovyev

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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