Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2016 | Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses | Tucker, A; Bosoni, P; Bellazzi, R; Nihtyanova, S; Denton, C |
| - | Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease | Alyousef, AA; Nihtyanova, S; Denton, C; Bosoni, P; Bellazzi, R; Tucker, A |
| 13-Nov-2017 | Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables | Yousefi, L; Saachi, L; Bellazzi, R; Chiovato, L; Tucker, A |
| 15-Jul-2020 | Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records | Dagliati, A; Geifman, N; Peek, N; Holmes, JH; Sacchi, L; Bellazzi, R; Sajjadi, SE; Tucker, A |
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