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Showing 1 to 4 of 4 for “"OMOP"”.
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An interoperable electronic medical record-based platform for personalized predictive analytics
… to observational medical outcomes partnership (OMOP) common data model (CDM) for population health research, and applies predictive models on patient data to make predictions about health outcomes. This project comprises of three studies. The first study introduces CCD-TOOMOP parser, and …
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Natural Language Processing Methods to Automatically Parse Eligibility Criteria in Dietary Supplements Clinical Trials
… criteria and assess if they can be mapped to OMOP Common Data Model (CDM); (2) develop and evaluate NLP methods, especially deep learning-based models, for extracting eligibility criteria data elements. We analyzed the eligibility criteria of 100 randomly selected DS clinical trials and …
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Subgrouping Ulcerative Colitis Patients using Administrative Claims Data
… to generate a cohort from a dataset in the OMOP Common Data Model (CDM), propose a patient timeline visualization tool, create and analyze a cohort of Ulcerative Colitis patients using a claims dataset. We extract patient features and use dimensionality reduction techniques along with …
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Advancements in Management Science: Applications to Online Retail, Healthcare, and Non-Profit Fundraising
… the Observational Medical Outcomes Partnership (OMOP) common data model, evidence is found which supports the use of guideline-recommended first-line treatments for uncomplicated UTI. Specifically, the rate of treatment efficacy is higher for first-line antibiotics relative to alternatives. …