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Fig. 1 | BMC Nephrology

Fig. 1

From: Latent variable modeling improves AKI risk factor identification and AKI prediction compared to traditional methods

Fig. 1

Histogram of patients’ probabilities of being a member of subpopulation 1 verses subpopulation 2, determined by a latent variable. Subpopulation 1 represents patients in whom AKI risk factors more strongly correlate with 48-h postoperative change in serum creatinine concentration, and subpopulation 2 less strongly, at completion of mixture model fit. The black bars represent patients with less than 50% probability of being a member of subpopulation 1 (>50% probability of being in subpopulation 2), and the white bars represent patients with greater than 50% probability of being a member of subpopulation 1 (<50% probability of being in subpopulation 2)

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BMC Nephrology

ISSN: 1471-2369

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