Elevated GM3 plasma concentration in idiopathic Parkinson's disease: A lipidomic analysis von Chan, Robin B, Perotte, Adler J, Zhou, Bowen, Liong, Christopher, Shorr, Evan J, Marder, Karen S, Kang, Un J, Waters, Cheryl H, Levy, Oren A, Xu, Yimeng, Shim, Hong Bin, Pe'er, Itsik, Di Paolo, Gilbert, Alcalay, Roy N

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Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations von Averitt, Amelia J., Weng, Chunhua, Ryan, Patrick, Perotte, Adler

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Learning probabilistic phenotypes from heterogeneous EHR data von Pivovarov, Rimma, Perotte, Adler J., Grave, Edouard, Angiolillo, John, Wiggins, Chris H., Elhadad, Noémie

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Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease von Elias, Pierre, Poterucha, Timothy J., Rajaram, Vijay, Moller, Luca Matos, Rodriguez, Victor, Bhave, Shreyas, Hahn, Rebecca T., Tison, Geoffrey, Abreau, Sean A., Barrios, Joshua, Torres, Jessica Nicole, Hughes, J. Weston, Perez, Marco V., Finer, Joshua, Kodali, Susheel, Khalique, Omar, Hamid, Nadira, Schwartz, Allan, Homma, Shunichi, Kumaraiah, Deepa, Cohen, David J., Maurer, Mathew S., Einstein, Andrew J., Nazif, Tamim, Leon, Martin B., Perotte, Adler J.

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Deceased donor kidneys allocated out of sequence by organ procurement organizations von King, Kristen L., Husain, S. Ali, Perotte, Adler, Adler, Joel T., Schold, Jesse D., Mohan, Sumit

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Characterizing treatment pathways at scale using the OHDSI network von Hripcsak, George, Ryan, Patrick B., Duke, Jon D., Shah, Nigam H., Park, Rae Woong, Huser, Vojtech, Suchard, Marc A., Schuemie, Martijn J., DeFalco, Frank J., Perotte, Adler, Banda, Juan M., Reich, Christian G., Schilling, Lisa M., Matheny, Michael E., Meeker, Daniella, Pratt, Nicole, Madigan, David

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The Counterfactual χ-GAN: Finding comparable cohorts in observational health data von Averitt, Amelia J., Vanitchanant, Natnicha, Ranganath, Rajesh, Perotte, Adler J.

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Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes von Claassen, Jan, Perotte, Adler, Albers, David, Kleinberg, Samantha, Schmidt, J. Michael, Tu, Bin, Badjatia, Neeraj, Lantigua, Hector, Hirsch, Lawrence J., Mayer, Stephan A., Connolly, E. Sander, Hripcsak, George

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Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients von Rodriguez, Victor Alfonso, Bhave, Shreyas, Chen, Ruijun, Pang, Chao, Hripcsak, George, Sengupta, Soumitra, Elhadad, Noemie, Green, Robert, Adelman, Jason, Metitiri, Katherine Schlosser, Elias, Pierre, Groves, Holden, Mohan, Sumit, Natarajan, Karthik, Perotte, Adler

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Deep learning to detect left ventricular structural abnormalities in chest X-rays von Bhave, Shreyas, Rodriguez, Victor, Poterucha, Timothy, Mutasa, Simukayi, Aberle, Dwight, Capaccione, Kathleen M, Chen, Yibo, Dsouza, Belinda, Dumeer, Shifali, Goldstein, Jonathan, Hodes, Aaron, Leb, Jay, Lungren, Matthew, Miller, Mitchell, Monoky, David, Navot, Benjamin, Wattamwar, Kapil, Wattamwar, Anoop, Clerkin, Kevin, Ouyang, David, Ashley, Euan, Topkara, Veli K, Maurer, Mathew, Einstein, Andrew J, Uriel, Nir, Homma, Shunichi, Schwartz, Allan, Jaramillo, Diego, Perotte, Adler J, Elias, Pierre

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Association between procurement biopsy findings and deceased donor kidney outcomes: a paired kidney analysis von Husain, Syed Ali, King, Kristen L., Coley, Shana, Natarajan, Karthik, Perotte, Adler, Mohan, Sumit

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Trends in Poor Health Indicators Among Black and Hispanic Middle-aged and Older Adults in the United States, 1999-2018 von Odlum, Michelle, Moise, Nathalie, Kronish, Ian M, Broadwell, Peter, Alcántara, Carmela, Davis, Nicole J, Cheung, Ying Kuen K, Perotte, Adler, Yoon, Sunmoo

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Social Network Behavior and Engagement Within a Smoking Cessation Facebook Page von Cole-Lewis, Heather, Perotte, Adler, Galica, Kasia, Dreyer, Lindy, Griffith, Christopher, Schwarz, Mary, Yun, Christopher, Patrick, Heather, Coa, Kisha, Augustson, Erik

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Admission Cardiac Diagnostic Testing with Electrocardiography and Troponin Measurement Prognosticates Increased 30-Day Mortality in COVID-19 von Poterucha, Timothy J, Elias, Pierre, Jain, Sneha S, Sayer, Gabriel, Redfors, Bjorn, Burkhoff, Daniel, Rosenblum, Hannah, DeFilippis, Ersilia M, Gupta, Aakriti, Lawlor, Matthew, Madhavan, Mahesh V, Griffin, Jan, Raikhelkar, Jayant, Fried, Justin, Clerkin, Kevin J, Kim, Andrea, Perotte, Adler, Maurer, Mathew S, Saluja, Deepak, Dizon, José, Ehlert, Frederick A, Morrow, John P, Yarmohammadi, Hirad, Biviano, Angelo B, Garan, Hasan, Rabbani, LeRoy, Leon, Martin B, Schwartz, Allan, Uriel, Nir, Wan, Elaine Y

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Diagnosing Transthyretin Cardiac Amyloidosis by Technetium Tc 99m Pyrophosphate von Poterucha, Timothy J., Elias, Pierre, Bokhari, Sabahat, Einstein, Andrew J., DeLuca, Albert, Kinkhabwala, Mona, Johnson, Lynne L., Flaherty, Kathleen R., Saith, Sunil E., Griffin, Jan M., Perotte, Adler, Maurer, Mathew S.

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Deep Vision: Learning to Identify Renal Disease With Neural Networks von Pavinkurve, Nishanth P, Natarajan, Karthik, Perotte, Adler J

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Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal von Norman, Kenneth A., Newman, Ehren L., Perotte, Adler J.

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UMLS-based data augmentation for natural language processing of clinical research literature von Kang, Tian, Perotte, Adler, Tang, Youlan, Ta, Casey, Weng, Chunhua

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Characterizing non-heroin opioid overdoses using electronic health records von Averitt, Amelia J, Slovis, Benjamin H, Tariq, Abdul A, Vawdrey, David K, Perotte, Adler J

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Diagnosis code assignment: models and evaluation metrics von Perotte, Adler, Pivovarov, Rimma, Natarajan, Karthik, Weiskopf, Nicole, Wood, Frank, Elhadad, Noémie

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