Review
Open access
Aug 2026
Exploring data-driven algorithms to identify Lyme disease cases in electronic health records
A tool capable of quickly and accurately identifying Lyme disease (LD) cases in endemic areas would have powerful applications in both research and public health. Using data from a single health system in an area with high LD incidence, we evaluated the feasibility and accuracy of data-driven algorithms to accurately i...
A. Linz, Erica Scotty, Jennifer K. Meece et al.
· PLoS ONE · 0 citations