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Using Machine Learning to Develop Smart Reflex Testing Protocols.

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Quantifying Information Redundancy in Common Laboratory Tests., , , и . AMIA, AMIA, (2014)3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data., , , и . J. Am. Medical Informatics Assoc., 25 (6): 645-653 (2018)Using Machine Learning to Develop Smart Reflex Testing Protocols., , , , и . CoRR, (2023)Creation and Use of an Electronic Health Record Reporting Database to Improve a Laboratory Test Utilization Program., , , , , и . Appl. Clin. Inform., 09 (03): 519-527 (2018)Using machine learning to develop smart reflex testing protocols., , , , и . J. Am. Medical Informatics Assoc., 31 (2): 416-425 (января 2024)Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements., , , , , , и . MedInfo, том 264 из Studies in Health Technology and Informatics, стр. 368-372. IOS Press, (2019)Opening up dark digital archives through the use of analytics to identify sensitive content., и . IEEE BigData, стр. 3224-3229. IEEE Computer Society, (2016)Providing More Efficient Access To Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege., , и . CoRR, (2020)Providing More Efficient Access to Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege., , и . ACM Journal on Computing and Cultural Heritage, 15 (1): 5:1-5:19 (2022)E-discovery., , , и . CIKM, стр. 1527. ACM, (2008)