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Can AI Mitigate Bias in Writing Letters of Recommendation?
JMIR Med Educ 2023;9:e51494
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Padhee et al [6], using 6 objective vital signs and the nature of hospital visit information from 59,728 records of a different cohort of 47 patients over 5 consecutive years, demonstrated that with more data for each patient, the accuracy for pain prediction improved (accuracy of 65.3%). In this study, we demonstrated that with more data from a larger cohort of patients and medication information, the accuracy improved by 17.5% compared with Padhee et al [6] and by 24.6% compared with Yang et al [4].
JMIR Form Res 2022;6(6):e36998
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