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Data-driven identification of complex disease phenotypes
Disease interaction in multimorbid patients is relevant to treatment and prognosis, yet poorly understood. In the present work, we combine approaches from network science, machine learning and computational phenotyping to assess interactions between two or more diseases in a transparent way across t...
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| Udgivet i: | J R Soc Interface |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
The Royal Society
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8315834/ https://ncbi.nlm.nih.gov/pubmed/34314651 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2020.1040 |
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