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Abstract
Machine learning is a powerful branch of Artificial Intelligence that has been used successfully in different industries. In the last few years with the increasing availability of clinical data stored in electronic format, the medical field has become an ideal environment for the development and application of these technologies. Machine learning has the potential to improve healthcare system by analyzing millions of clinical data to create prognostic, screening and diagnostic models. However, even though it is evident that the use of these algorithms can improve the quality of healthcare systems and patient’s life, an appropriate validation process is needed in order to implement these technologies into the clinical practice.
Keywords
References
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