Abstracts tagged "infection and statistical methods"

Abstract Number: 2890 • ACR/ARHP Annual Meeting 2017
Performance of Machine Learning Methods Using Electronic Medical Records to Predict Varicella Zoster Virus Infection
Milena Gianfrancesco¹, Gabriela Schmajuk², Sara Murray³, Dana Ludwig³, Awni Hannun⁴, Anand Avati⁴, Suzanne Tamang⁵ and Jinoos Yazdany⁶, ¹Medicine/Rheumatology, University of California, San Francisco, San Francisco, CA, ²San Francisco VA Medical Center, University of California San Francisco, San Francisco, CA, ³University of California, San Francisco, San Francisco, CA, ⁴Computer Science, Stanford University, Palo Alto, CA, ⁵Stanford Center for Population Health Science, Stanford University, Palo Alto, CA, ⁶Medicine/Rheumatology, University of California San Francisco, San Francisco, CA
Background/Purpose: Varicella zoster virus infections (VZV) can be associated with significant morbidity in immunosuppressed hosts. However, methods do not exist to systematically identify which patients…