Austin HIMSS Lunch & Learn: Machine Learning - Tuesday, September 12
Successful Applications of Machine Learning Technologies in Healthcare
Leveraging Machine Learning technology to find the 90 percent of undiagnosed individuals with the most common dominantly inherited disorder
Please join us for the Austin HIMSS Chapter September Lunch & Learn. The FIND FH® initiative applies novel informatics approaches, including machine learning, to create an algorithm to “flag” and identify potentially affected familial hypercholesterolemia (FH) individuals. FIND FH uses an electronic phenotype of FH and machine learning algorithms to identify and analyze approximately 100 features including diagnosis codes, procedure codes, prescription codes, lab results, and demographic variables in 144 million Americans to identify 1.3 million Probable FH individuals who either have or are at risk for serious cardiovascular disease.
Kelly D Myers - CEO, Founder, Atomo, Inc. and Chief Technology Officer of the Familial Hypercholesterolemia Foundation
WHEN: Tuesday, Sept 12th from 11:30 AM - 1:00 PM
Joe C Thompson Conference Center
2405 Robert Dedman Drive
Austin, TX 78712
FREE Parking: Lot 40 (corner of Red River Street & East Dean Keeton Street)
REGISTER HERE and share with colleagues and industry contacts who may be interested.
- Member Price: $0.00
- Student Price: $5.00
- Non-member Price: $15.00