Hakutulokset - Bejan, Cosmin A

Learning to Identify Treatment Relations in Clinical Text Tekijä Bejan, Cosmin A., Denny, Joshua C.

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Performance of a Natural Language Processing Method to Extract Stone Composition from the Electronic Health Record Tekijä Bejan, Cosmin A, Lee, Daniel J, Xu, Yaomin, Hsi, Ryan S

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Assessing Pneumonia Identification from Time-Ordered Narrative Reports Tekijä Bejan, Cosmin A., Vanderwende, Lucy, Wurfel, Mark M., Yetisgen-Yildiz, Meliha

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On-time clinical phenotype prediction based on narrative reports Tekijä Bejan, Cosmin A., Vanderwende, Lucy, Evans, Heather L., Wurfel, Mark M., Yetisgen-Yildiz, Meliha

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Prediction of future health care utilization through note-extracted Psychosocial Factors Tekijä Dorr, David A., Quiñones, Ana R., King, Taylor, Wei, Melissa Y, White, Kellee, Bejan, Cosmin A.

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DrugWAS: Leveraging drug-wide association studies to facilitate drug repurposing for COVID-19 Tekijä Bejan, Cosmin A., Cahill, Katherine N., Staso, Patrick J., Choi, Leena, Peterson, Josh F., Phillips, Elizabeth J.

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DrugWAS: Drug‐wide Association Studies for COVID‐19 Drug Repurposing Tekijä Bejan, Cosmin A., Cahill, Katherine N., Staso, Patrick J., Choi, Leena, Peterson, Josh F., Phillips, Elizabeth J.

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Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records Tekijä McNeer, Elizabeth, Beck, Cole, Weeks, Hannah L, Williams, Michael L, James, Nathan T, Bejan, Cosmin A, Choi, Leena

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medExtractR: A targeted, customizable approach to medication extraction from electronic health records Tekijä Weeks, Hannah L, Beck, Cole, McNeer, Elizabeth, Williams, Michael L, Bejan, Cosmin A, Denny, Joshua C, Choi, Leena

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Association of Chronic Kidney Disease Stage with 24-Hour Urine Values Among Patients with Nephrolithiasis Tekijä Sui, Wilson, Calvert, Josh K., Kavoussi, Nicholas L., Gould, Edward R., Miller, Nicole L., Bejan, Cosmin A., Hsi, Ryan S.

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Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records Tekijä Bejan, Cosmin A, Angiolillo, John, Conway, Douglas, Nash, Robertson, Shirey-Rice, Jana K, Lipworth, Loren, Cronin, Robert M, Pulley, Jill, Kripalani, Sunil, Barkin, Shari, Johnson, Kevin B, Denny, Joshua C

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Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort Tekijä DeLozier, Sarah, Bland, Sarah, McPheeters, Melissa, Wells, Quinn, Farber-Eger, Eric, Bejan, Cosmin A., Fabbri, Daniel, Rosenbloom, Trent, Roden, Dan, Johnson, Kevin B., Wei, Wei-Qi, Peterson, Josh, Bastarache, Lisa

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Development of a System for Post-marketing Population Pharmacokinetic and Pharmacodynamic Studies using Real-World Data from Electronic Health Records Tekijä Choi, Leena, Beck, Cole, McNeer, Elizabeth, Weeks, Hannah L., Williams, Michael L., James, Nathan T., Niu, Xinnan, Abou-Khalil, Bassel W., Birdwell, Kelly A., Roden, Dan M., Stein, C. Michael, Bejan, Cosmin A., Denny, Joshua C., Van Driest, Sara L.

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HLA-A*32:01 is strongly associated with vancomycin-induced drug reaction with eosinophilia and systemic symptoms Tekijä Konvinse, Katherine C, Trubiano, Jason A, Pavlos, Rebecca, James, Ian, Shaffer, Christian M, Bejan, Cosmin A, Schutte, Ryan J, Ostrov, David A, Pilkinton, Mark A, Rosenbach, Misha, Zwerner, Jeffrey P, Williams, Kristina B, Bourke, Jack, Martinez, Patricia, Rwandamuriye, Francois, Chopra, Abha, Watson, Mark, Redwood, Alec J, White, Katie D, Mallal, Simon A, Phillips, Elizabeth J

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