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Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients.

, , , , , and . ICHI, page 756-759. IEEE, (2023)

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Towards a privacy preserving cohort discovery framework for clinical research networks., , , , , , and . J. Biomed. Informatics, (2017)Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups., , , , , , , , , and 4 other author(s). AMIA, AMIA, (2020)Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program., , , and . BMC Medical Informatics Decis. Mak., 19 (1): 131:1-131:15 (2019)An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival., , , , , , and . BMC Medical Informatics Decis. Mak., 18 (S-2): 129-147 (2018)Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network., , , , , , , and . AMIA, AMIA, (2017)Assessing the effect of data integration on predictive ability of cancer survival models., , , , , , and . Health Informatics J., (2020)Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients., , , , , and . ICHI, page 756-759. IEEE, (2023)Predicting 30-day all-cause readmissions from hospital inpatient discharge data., , , and . HealthCom, page 1-6. IEEE, (2016)Applications of artificial intelligence in drug development using real-world data., , , , and . CoRR, (2021)Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers., , , and . HealthCom, page 1-6. IEEE, (2018)