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We present novel machine learning and data mining methods that make real-world learning systems more efficient. We focus on the domain of clinical informatics, an archetypical example of a field overwhelmed with information. Due to properties inherent to clinical informatics tasks – and indeed, to many ...

Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe a real-world, deployed application of AL to the problem of biomedical citation screening for systematic reviews at the ...