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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Detalles Bibliográficos
Autores principales: Ali, Rahman, Siddiqi, Muhammad Hameed, Idris, Muhammad, Ali, Taqdir, Hussain, Shujaat, Huh, Eui-Nam, Kang, Byeong Ho, Lee, Sungyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541854/
https://www.ncbi.nlm.nih.gov/pubmed/26147731
http://dx.doi.org/10.3390/s150715772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541854/
https://www.ncbi.nlm.nih.gov/pubmed/26147731
http://dx.doi.org/10.3390/s150715772

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