Deep Learning, Artificial Intelligence, Medical, Healthcare, Genomics.
history and health record, additional tests, patient testimony, etc. Another limitation to building a supervised deep-learning system for a new medical imaging task is access to a sufficiently large, labeled dataset. 2. Natural Language Processing (NLP) for Unstructured Data, e.g.: Electronic