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Advances in technology are improving the quality and quantity of data available in ICU, creating opportunities for the development of patient-specific predictive models to support clinical decision-making. The 2012 PhysioNet Computing in Cardiology Challenge is to develop a patient-specific model for predicting in-hospital mortality using data collected during the first 48 hours of an ICU stay. Our...
We address the incomplete-data problem in which feature vectors to be classified are missing data (features). A (supervised) logistic regression algorithm for the classification of incomplete data is developed. Single or multiple imputation for the missing data is avoided by performing analytic integration with an estimated conditional density function (conditioned on the observed data). Conditional...
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