Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort
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DOI: 10.1109/jbhi.2022.3175862
Abstract: As different scientific disciplines begin to converge on machine learning for causal inference, we demonstrate the application of machine learning algorithms in the context of longitudinal causal estimation using electronic health records. Our aim is… read more here.
Keywords: application; diabetes care; care provisions; type diabetes ... See more keywords