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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy

Fig. 4

Analysis of variable influence on response prediction for a patient at 6-months. The initial response prediction is conditional on age, number of previous and current therapies. Further predictions are conditional on quantile values for HbA1c, BMI, eGFR and ALT. Out of the 4 missing covariates, the collection of HbA1c will, in theory, provide the most information about treatment response for the patient. Patient: Number of Past Drugs [2], Number of Current Drugs [0], Age [75]

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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