Medicine and Health

Cohort design and natural language processing to reduce bias in electronic health records research

S. Khurshid, C. Reeder, et al.

Discover how electronic health record (EHR) datasets can overcome biases and missing data through innovative sampling and natural language processing methods. This groundbreaking research conducted by esteemed authors reveals a significant reduction in missing vital signs and improved risk model calibration, enhancing the generalizability of EHR research.

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