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GUDM: Automatic Generation of Unified Datasets for Learning and Reasoning in Healthcare
A wide array of biomedical data are generated and made available to healthcare experts. However, due to the diverse nature of data, it is difficult to predict outcomes from it. It is therefore necessary to combine these diverse data sources into a single unified dataset. This paper proposes a global...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4541854/ https://ncbi.nlm.nih.gov/pubmed/26147731 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s150715772 |
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