S02: Oral Presentations - Phenotyping3:30 PM–5:00 PM Mar 25, 2019
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S03: Oral Presentations - NLP Case Studies3:30 PM–5:00 PM Mar 25, 2019
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S04: Oral Presentations - Machine Learning in Clinical Predictive Modeling I3:30 PM–5:00 PM Mar 25, 2019
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S05: Ignite-style Talks3:30 PM–5:00 PM Mar 25, 2019
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Signals of Nurse Workarounds in Electronic Medication Administration Record Data3:45 PM–4:00 PM Mar 25, 2019
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Cost-sensitive Active Learning for Phenotyping of Electronic Health Records3:48 PM–4:06 PM Mar 25, 2019
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Improving length of stay prediction using a hidden Markov model3:48 PM–4:06 PM Mar 25, 2019
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In Search of the Holy Grail: Applying NLP to Identify Recurrent Cancer3:48 PM–4:06 PM Mar 25, 2019
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How to Make an Informatics Infrastructure4:00 PM–4:15 PM Mar 25, 2019
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Deep Patient Representation of Clinical Notes via Multi-Task Learning for Mortality Prediction4:06 PM–4:24 PM Mar 25, 2019
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Making sense of abbreviations in nursing notes: A case study on mortality prediction4:06 PM–4:24 PM Mar 25, 2019
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Can Mobile Apps Help Young Children’s Communication and Social Interaction?4:15 PM–4:30 PM Mar 25, 2019
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Active Learning for the Identification of Nurses’ Concerns from Nursing Notes4:24 PM–4:42 PM Mar 25, 2019
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An exploration of ontology-based EMR data abstraction for diabetic kidney disease prediction4:24 PM–4:42 PM Mar 25, 2019
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Leveraging a Neural-Symbolic Representation of Biomedical Knowledge to Improve Pediatric Subphenotyping4:24 PM–4:42 PM Mar 25, 2019
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Can Electronic Health Records support multidisciplinary teamwork?4:30 PM–4:45 PM Mar 25, 2019
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Comorbidity Characterization Among eMERGE Institutions: A Pilot Evaluation of the Johns Hopkins ACG System4:42 PM–5:00 PM Mar 25, 2019
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Deep Neural Architectures for Discourse Segmentation in E-Mail Based Behavioral Interventions4:42 PM–5:00 PM Mar 25, 2019
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Determining Onset for Familial Breast and Colorectal Cancer from Family History Comments in the Electronic Health Record4:42 PM–5:00 PM Mar 25, 2019
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