Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records
Anna is an open-source tool designed to improve the accessibility of ML classifiers for the veterinary community. Its flexible architecture supports the integration of classifiers developed in various programming languages and with diverse environment requirements. Anna facilitates rapid prototyping, enabling researchers and developers to deploy ML classifiers quickly without modifications to the existing EHR system. Anna could drive broader adoption of ML in veterinary practices, ultimately enhancing diagnostic capabilities and patient outcomes.
Authors
- Chak Yien Kong
- Stefan M. Keller (ORCID: https://orcid.org/0000-0002-5428-2985)
- C. Titus Brown (ORCID: https://orcid.org/0000-0001-6001-2677)
- Krystle L. Reagan (ORCID: https://orcid.org/0000-0003-3426-6352)
- Picasso Vasquez
- C. M. Brandt
- Makan Farhoodimoghadam
- Allison L. Zwingenberger
Institutions
- Film Independent (US)
- University of California, Davis (US)
- Colorado State University (US)
Publication Details
- Journal
- BMC Veterinary Research
- Published
- 2025-10-02
- DOI
- https://doi.org/10.1186/s12917-025-05000-7
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- School of Veterinary Medicine, University of California, Davis
- University of California, Davis
- Center for Companion Animal Health, University of California, Davis