Хайлтын үр дүнгүүд - Danciu, Ioana

Managing and Communicating Operational Workflow: Designing and Implementing an Electronic Outpatient Whiteboard -н Steitz, Bryan D., Weinberg, Stuart T., Danciu, Ioana, Unertl, Kim M.

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Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks -н Kim, Minsu, Huffman, Jennifer E., Justice, Amy, Goethert, Ian, Agasthya, Greeshma, Danciu, Ioana

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Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients -н Mahbub, Maria, Srinivasan, Sudarshan, Danciu, Ioana, Peluso, Alina, Begoli, Edmon, Tamang, Suzanne, Peterson, Gregory D.

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Electronic Surveillance and Pharmacist Intervention for Vulnerable Geriatric Inpatients on High-Risk Medication Regimens -н Peterson, Josh F., Kripalani, Sunil, Danciu, Ioana, Harrell, Debbie, Marvanova, Marketa, Salanitro, Amanda, Rodriguez, Carmen, Powers, James S.

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Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records -н Savova, Guergana K., Danciu, Ioana, Alamudun, Folami, Miller, Timothy, Lin, Chen, Bitterman, Danielle S., Tourassi, Georgia, Warner, Jeremy L.

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Secondary Use of Clinical Data: the Vanderbilt Approach -н Danciu, Ioana, Cowan, James D., Basford, Melissa, Wang, Xiaoming, Saip, Alexander, Osgood, Susan, Shirey-Rice, Jana, Kirby, Jacqueline, Harris, Paul A.

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A Computerized Provider Order Entry Intervention for Medication Safety During Acute Kidney Injury: A Quality Improvement Report -н McCoy, Allison B., Waitman, Lemuel R., Gadd, Cynthia S., Danciu, Ioana, Smith, James P., Lewis, Julia B., Schildcrout, Jonathan S., Peterson, Josh F.

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JSONize: A Scalable Machine Learning Pipeline to Model Medical Notes as Semi-structured Documents -н Rush, Everett N., Danciu, Ioana, Ostrouchov, George, Cho, Kelly, Mayer, Benjamin W., Ho, Yuk-Lam, Honerlaw, Jacqueline, Costa, Lauren, Linares, Franciel, Begoli, Edmon

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Standardized Architecture for a Mega-Biobank Phenomic Library: The Million Veteran Program (MVP) -н Knight, Kathryn E., Honerlaw, Jacqueline, Danciu, Ioana, Linares, Franciel, Ho, Yuk-Lam, Gagnon, David R., Rush, Everett, Gaziano, J. Michael, Begoli, Edmon, Cho, Kelly

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Estimating Baseline Kidney Function in Hospitalized Patients with Impaired Kidney Function -н Siew, Edward D., Ikizler, T. Alp, Matheny, Michael E., Shi, Yaping, Schildcrout, Jonathan S., Danciu, Ioana, Dwyer, Jamie P., Srichai, Manakan, Hung, Adriana M., Smith, James P., Peterson, Josh F.

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Acute Kidney Injury Incidence in Noncritically Ill Hospitalized Children, Adolescents, and Young Adults: A Retrospective Observational Study -н McGregor, Tracy L., Jones, Deborah P., Wang, Li, Danciu, Ioana, Bridges, Brian C., Fleming, Geoffrey M., Shirey-Rice, Jana, Chen, Lixin, Byrne, Daniel W., Van Driest, Sara L.

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A prognostic model based on readily available clinical data enriched a preemptive pharmacogenetic testing program -н Schildcrout, Jonathan S., Shi, Yaping, Danciu, Ioana, Bowton, Erica, Field, Julie R., Pulley, Jill M., Basford, Melissa, Gregg, William, Cowan, James, Harrell, Frank E., Roden, Dan M., Peterson, Josh F., Denny, Joshua C.

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Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types -н De Angeli, Kevin, Gao, Shang, Danciu, Ioana, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen, Wiggins, Charles, Damesyn, Mark, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D., Yoon, Hong-Jun

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Adverse Drug Events during AKI and Its Recovery -н Cox, Zachary L., McCoy, Allison B., Matheny, Michael E., Bhave, Gautam, Peterson, Neeraja B., Siew, Edward D., Lewis, Julia, Danciu, Ioana, Bian, Aihua, Shintani, Ayumi, Ikizler, T. Alp, Neal, Erin B., Peterson, Josh F.

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Physician Response to Implementation of Genotype-Tailored Antiplatelet Therapy -н Peterson, Josh F., Field, Julie R., Unertl, Kim, Schildcrout, Jonathan S., Johnson, Daniel C., Shi, Yaping, Danciu, Ioana, Cleator, John H., Pulley, Jill M., McPherson, John A., Denny, Josh C., Laposata, Michael, Roden, Dan M., Johnson, Kevin B.

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Pharmacoepidemiology, Machine Learning and COVID-19: An intent-to-treat analysis of hydroxychloroquine, with or without azithromycin, and COVID-19 outcomes amongst hospitalized US... -н Gerlovin, Hanna, Posner, Daniel C, Ho, Yuk-Lam, Rentsch, Christopher T, Tate, Janet P, King Jr, Joseph T, Kurgansky, Katherine E, Danciu, Ioana, Costa, Lauren, Linares, Franciel A, Goethert, Ian D, Jacobson, Daniel A, Freiberg, Matthew S, Begoli, Edmon, Muralidhar, Sumitra, Ramoni, Rachel B, Tourassi, Georgia, Gaziano, J Michael, Justice, Amy C, Gagnon, David R, Cho, Kelly

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