CHPC - Research Computing Support for the University
In addition to deploying and operating high performance computational resources and providing advanced user support and training, CHPC serves as an expert team to broadly support the increasingly diverse research computing needs on campus. These needs include support for big data, big data movement, data analytics, security, virtual machines, Windows science application servers, protected environments for data mining and analysis of protected health information, and advanced networking. Visit our Getting Started page for more information.
posted: December 20th, 2021
- Hands on Intro to Linux:
- Part 2: Thur, Jan 27, 1-3pm
- Part 3: Tue, Feb 1, 1-3 pm
- Part 4: Thur, Feb 3, 1-3pm
- Module Basics: Tue, Feb 8, 1-2pm
Posted: January 7th, 2022
Posted: January 3rd, 2022
Summer 2021 CHPC Newsletter
CHPC ANNOUNCEMENT: CHPC staff working both remotely and hybrid schedules.
A generic rule-based pipeline for patient cohort identification
By Jianlin Shi1, Jianyin Shao1, Kevin Graves1, Celena Peters1, Kelly Peterson2, John F Hurdle1
Our aim is a one-for-all pipeline based on a use-friendly rule design app. We identify the patient cohort with high risk of heart disease for clinical trial from clinical notes with 13 heterogeneous selection criteria.
Our pipeline is demonstrated to be effective and suitable for rapid development of patient cohort identification solutions.
For more information about algorithms, see a related article in the Journal of Biomedical Informatics.