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Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.

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On the Construction of a Family of Automata That Are Generically Non-minimal., and . LATA, volume 7810 of Lecture Notes in Computer Science, page 80-91. Springer, (2013)Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event., , , , , , , , , and 3 other author(s). Appl. Clin. Inform., 10 (05): 952-963 (2019)CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey Platform., , , , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1462-1463. IOS Press, (2019)Identifying Concepts of Nurses' Concerns Using a Standard Nursing Terminology., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2018)Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case., , , , , , , , , and 4 other author(s). AMIA, AMIA, (2019)Harmonizing Flowsheet Datasets Across EHRs for a Multi-Site Study., , , , , , and . AMIA, AMIA, (2018)Mining clinical phrases from nursing notes to discover risk factors of patient deterioration., , , , , , , , , and 1 other author(s). Int. J. Medical Informatics, (2020)Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology., , , , , , , , , and 3 other author(s). Int. J. Medical Informatics, (2020)Supervised Machine Learning of Nursing Flowsheet Data to Identify a Signal of Racial Bias., , , and . AMIA, AMIA, (2021)Utilizing Timestamps of Longitudinal Data from Electronic Health Record to Predict Clinical Deterioration Events., , , , and . AMIA, AMIA, (2020)