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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare

Fig. 1

Odds of each label by whether the pediatric admission occurred at Stanford vs. SickKids

Figure shows odds ratio and 99.9% confidence interval showing odds of an abnormal label by institution. Dashed line indicates an odds ratio of 1. An odds ratio of > 1 corresponds to higher odds of assigning a positive label for StanfordPeds compared to SickKids. Odds ratios were obtained using mixed-effects logistic regression with each binary label as outcome, institution and pediatric age group as fixed effects and subject as random intercept

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