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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Bibliographic Details
Main Authors: Ioannis Kavakiotis, Olga Tsave, Athanasios Salifoglou, Nicos Maglaveras, Ioannis Vlahavas, Ioanna Chouvarda
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:Computational and Structural Biotechnology Journal
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037016300733