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Effectively Crowdsourcing Radiology Report Annotations., , и . CRI, AMIA, (2016)Combining rule-based and neural network systems for extracting adverse reactions from drug labels., и . TAC, NIST, (2017)Longitudinal Performance of a Machine Learning NICU Sepsis Predictor., , , и . AMIA, AMIA, (2021)Prediction of early childhood obesity with machine learning and electronic health record data., , , и . Int. J. Medical Informatics, (2021)Obesity Classifier Performance Disparities by Demographic Subgroup., , и . AMIA, AMIA, (2021)Identifying Abnormal Anatomy on Temporal Bone Computed Tomography Reports Using Readily Available Natural Language Processing Software., , , и . AMIA, AMIA, (2015)A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity., , и . BioNLP, стр. 156-160. Association for Computational Linguistics, (2018)Effectively Crowdsourcing Radiology Report Annotations., , , , и . Louhi@EMNLP, стр. 109-114. Association for Computational Linguistics, (2015)Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation., , , и . J. Biomed. Informatics, (2017)Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions., , , и . ICMLA, стр. 1438-1443. IEEE, (2019)