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Research and applications: Patient-level temporal aggregation for text-based asthma status ascertainment.

, , , and . JAMIA, 21 (5): 876-884 (2014)

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Modeling asynchronous event sequences with RNNs., , , , , , and . J. Biomed. Informatics, (2018)Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events., , , , and . LREC, European Language Resources Association (ELRA), (2016)Probabilistic Population-level Modeling of Disease Event Timelines., , , , , , and . AMIA, AMIA, (2016)Asthma Ascertainment NLP System Portability across Institutions., , , , , , , and . AMIA, AMIA, (2016)Ascertaining Asthma Predictive Index through Natural Language Processing., , , , and . CRI, AMIA, (2016)Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique., , , , , , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 310 (2021)Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians., , , and . MedInfo, volume 245 of Studies in Health Technology and Informatics, page 1170-1174. IOS Press, (2017)Comprehensive Evaluation of Health Impact of an ML-Based CDS Solution Integrated with Remote Device: Protocol for RCT in Children with Asthma., , , , , , , , , and 5 other author(s). AMIA, AMIA, (2022)Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions., , , , , , , and . J. Am. Medical Informatics Assoc., 25 (3): 353-359 (2018)Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes., , , , , , and . BIBM, page 1736-1739. IEEE, (2020)