A Machine Learning Approach for Identifying People With Neuroinfectious Diseases in Electronic Health Records: Algorithm Development and Validation
JMIR Medical Informatics2025Vol. 13, pp. e63157–e63157
Arjun Singh, Shadi Sartipi, Haoqi Sun, Rebecca Milde, Niels Turley, Carson Quinn, G. Kyle Harrold, Rebecca L. Gillani, Sarah E. Turbett, Sudeshna Das, Sahar F. Zafar, Marta Fernandes, M. Brandon Westover, Shibani S. Mukerji
Abstract
The NLP model accurately identifies NID cases from clinical notes. Validated across 2 independent hospital datasets, the model demonstrates feasibility for large-scale NID research and cohort generation. With further external validation, our results could be more generalizable to other institutions.
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