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A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes
We introduce a novel Bayesian nonparametric model that uses the concept of disease trajectories for disease subtype identification. Although our model is general, we demonstrate that by treating fractions of tissue patterns derived from medical images as compositional data, our model can be applied...
Gorde:
| Argitaratua izan da: | IEEE Trans Med Imaging |
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| Egile Nagusiak: | , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2017
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5267575/ https://ncbi.nlm.nih.gov/pubmed/28060702 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2608782 |
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