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Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications.
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A neural network based model for predicting psychological conditions,
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Deep learning,
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Interpretable deep models for icu outcome prediction,
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A computational approach to mortality prediction of alcohol use disorder inpatients,
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Predicting icu mortality risk by grouping temporal trends from a multivariate panel of physiologic measurements.,
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Identifiable phenotyping using constrained non-negative matrix factorization,
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Interpretable topic features for post-icu mortality prediction,
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Mortality prediction in the icu based on mimic-ii results from the super icu learner algorithm (sicula) project,
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Multitask learning and benchmarking with clinical time series data,
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Reproducibility in critical care: a mortality prediction case study,
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Customization of a severity of illness score using local electronic medical record data,
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Patient-specific predictive modeling using random forests: An observational study for the critically ill,
J. Lee, · 2017
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Variational recurrent adversarial deep domain adaptation,
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