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This Master's, Postgraduate Diploma and Specialization Courses are aimed at clinicians interested in learning how AI is applied in health and doing research with the data they have access to their jobs, clinical histories and other data they collect from the services. where they work. Generally these professionals are used to doing research using statistical techniques and now they want to go a step further and see what can be given about the computational techniques of artificial intelligence and how massive data can be treated. In addition, the ethical implications when conducting research are of utmost importance in this area of health, which is why in this Master's degree students will acquire the necessary knowledge about privacy, ethics and legality needed to write. a project proposal that can be validated by the Clinical Research Ethics Committees (CEIC).
- Professionals in the field of Health Sciences: Medicine, Pharmacy, Nursing and other related graduates.
- # Artificial Intelligence in Health. # Health Data Analysis. #Big Data Environments for data analysis. # Data acquisition, filtering and security. #Data storage and display. #Master's Final Project.