Machine Learning and Data Mining Methods in Diabetes Research

The remarkable advances in biotechnology and health sciences have led to a significant production of data, such as high throughput genetic data and clinical information, generated from large Electronic Health Records (EHRs). To this end, application of machine learning and data mining methods in bio...

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Detalles Bibliográficos
Autores principales: Kavakiotis, Ioannis, Tsave, Olga, Salifoglou, Athanasios, Maglaveras, Nicos, Vlahavas, Ioannis, Chouvarda, Ioanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2017
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5257026/
https://www.ncbi.nlm.nih.gov/pubmed/28138367
http://dx.doi.org/10.1016/j.csbj.2016.12.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5257026/
https://www.ncbi.nlm.nih.gov/pubmed/28138367
http://dx.doi.org/10.1016/j.csbj.2016.12.005

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