Online Resource

Artificial Intelligence in Health Analytics

This course introduces you to the fundamental techniques and concepts necessary for understanding and implementing AI applications in healthcare. AI concepts covered include; an introduction to intelligent agents; problem-solving strategies such as evolutionary algorithms and particle swarm optimisation; constraint satisfaction problems; modelling uncertainty; and, learning methods including deep learning and reinforcement learning.

Throughout this course, you will gain valuable hands-on experience by implementing AI techniques, using real healthcare data examples, in Python as well as learning to assess and validate the resulting models.

Keywords: data processing, deep learning, programming, python

Target audience: Postgraduate student, Postgraduate researcher, Researcher, Clinician, Industry

Resource type: Online Resource

Authors: Cummins, Nicholas; Dinely, Judith; Stahl, Daniel; Abdullah, Zahra; Langham, John;


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