Welcome to
Clinical Natural Language Processing. My name is Laura Wiley, and I am an assistant professor
of Biomedical Informatics and personalized medicine at the University
of Colorado Anschutz Medical Campus. Along with our industry partner, Google Cloud, we are delighted
to have you in this course. Clinical natural language
processing is the fourth course in the clinical data
science specialization. A series of six courses that provides
practical hands-on training in using electronic medical record data. The first week of this course will
introduce you to the foundational principles of natural language processing. Then, in week two, you will learn
all about regular expressions, and how to do text processing in
the R programming language. Week three, we'll teach you the different
types and structure of clinical notes, and you will also learn to
apply practical approaches on how to use this note structure to
answer clinical data science questions. Then in Week 4, you will learn another
text processing technique called Window Searching to identify and
extract information from clinical notes. Finally, in week five, you will be given a real natural
language processing challenge. Where you will apply the tools and
techniques you have learned. At the end of these five weeks, you
will have the practical skills needed to use clinical notes to solve
data science problems. And the foundational knowledge needed
to understand advance natural language processing toolkits. Now it's time to get to work and start
unlocking the data found in clinical text.