Clinical Natural Language Processing
About this Course
This course teaches you the fundamentals of clinical natural language processing (NLP). In this course you will learn the basic linguistic principals underlying NLP, as well as how to write regular expressions and handle text data in R. You will also learn practical techniques for text processing to be able to extract information from clinical notes. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop text processing algorithms to identify diabetic complications from clinical notes. You will complete this work using a free, online computational environment for data science hosted by our Industry Partner Google Cloud.Created by: University of Colorado System
Related Online Courses
About GANs\\n\\nGenerative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs.\\n\\nRooted in game theory, GANs have... more
What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to create a Data Fusion instance and deploy a sample pipelineCreated by: Google Cloud more
Data structures play a central role in computer science and are the cornerstones of efficient algorithms. This specialization explores the principles and methods in the design and implementation of... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier.... more
Powered by
