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A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data., , , , and . ICHI, page 1-8. IEEE, (2019)Advancing Alzheimer's research: A review of big data promises., , and . Int. J. Medical Informatics, (2017)A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study., , , , , , and . J. Am. Medical Informatics Assoc., 28 (9): 1885-1891 (2021)NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models., , , , , , , , , and 5 other author(s). J. Artif. Intell. Res., (2021)Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record., , , , , and . J. Biomed. Informatics, (2017)DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing., , , , , , , and . International Conference on Computational Science (1), volume 4487 of Lecture Notes in Computer Science, page 1222-1229. Springer, (2007)A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications., , , , , , , , , and 1 other author(s). CRI, AMIA, (2016)Variability in General Health Status Post Liver Transplantation., , , , , and . AI4Function@IJCAI, volume 2760 of CEUR Workshop Proceedings, page 1-7. CEUR-WS.org, (2020)A Data Quality Ontology for the Secondary Use of EHR Data., , , , and . AMIA, AMIA, (2015)Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2015)