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NLP@UCSF: Processing De-Identified Clinical Notes at Scale

NLP@UCSF: Processing De-Identified Clinical Notes at Scale Online

There is ALOT of data available through UCSF Deidentified Clinical Notes! How can you ensure that your text processing pipelines work for millions of documents? One answer: distribution!

In this presentation, I'll present an example of distributed text preprocessing and discuss some practical tips.

About the Speaker: 

Albert Lee, Instructional Designer and Analyst
UCSF Library, Data Science Initiative (DSI)
UCSF Bakar Computational Health Sciences Institute (BCHSI)

Albert’s professional interests lie at the intersection of data science and education. Prior to joining UCSF, he developed computer science, machine learning, and game design curricula, and his learners ranged from K-12 students to industry professionals. Albert completed both his bachelor's (Industrial and Operations Engineering) and master's (Applied Data Science) degrees from the University of Michigan.

What is NLP@UCSF?

Are you curious about how natural language processing (NLP) can be applied in healthcare, clinical, and biomedical research? NLP@UCSF brings together learners, users, and doers to share and discuss NLP applications in medicine.

We meet each month via Zoom. Our community welcomes people of all backgrounds and skill levels, and all are welcome to attend and join the conversation! Check out our website to see upcoming meetups or access recordings from previous sessions. You can also join our Slack channel to stay connected with the community.

Date:
Wednesday, Sep 14 2022
Time:
11:35am - 12:30pm
Time Zone:
Pacific Time - US & Canada (change)
Campus:
Online
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  Data Science  
Registration has closed.

Event Organizer

Profile photo of Albert Lee
Albert Lee