Review and analysis of methodologies and techniques of machine learning and deep learning techniques in electronic health records

The object of the thesis will be the study, recording, and comparison of both commercial and research techniques and methodologies of engineering and deep learning that exist and are applied in the electronic health records. The ultimate goal is to record the most common machine learning and in-depth learning architectures for the analysis of health records and the implementation of one of them as well as the identification of future opportunities in the field of machine learning in electronic health records.

Technical prerequisites

  • Python