Deep Learning For Healthcare Data Processing

Deep learning techniques have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being fundamentally changed healthcare industries. Vary types of data have been emerging in modern healthcare research, including electronic health records (EHR), Clinical imaging, and Continuing monitoring data, which are noise, complex, high-dimensional, multi-modality, poorly annotated and generally unstructured. Healthcare applications pose many significantly different challenges to existing deep learning models. For instance, interpretation of prediction, missing value, and privacy preservation. In this tutorial, we will discuss the challenges and solutions to the problems in healthcare applications, as well as data sets and demos.