Search Results - Nguy, Vuthy

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  1. 1
    A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients

    A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients by Razavian, Narges, Major, Vincent J., Sudarshan, Mukund, Burk-Rafel, Jesse, Stella, Peter, Randhawa, Hardev, Bilaloglu, Seda, Chen, Ji, Nguy, Vuthy, Wang, Walter, Zhang, Hao, Reinstein, Ilan, Kudlowitz, David, Zenger, Cameron, Cao, Meng, Zhang, Ruina, Dogra, Siddhant, Harish, Keerthi B., Bosworth, Brian, Francois, Fritz, Horwitz, Leora I., Ranganath, Rajesh, Austrian, Jonathan, Aphinyanaphongs, Yindalon

    Published in NPJ digital medicine
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  2. 2
    Multiple Biomarker Approach to Risk Stratification in COVID-19

    Multiple Biomarker Approach to Risk Stratification in COVID-19 by Smilowitz, Nathaniel R., Nguy, Vuthy, Aphinyanaphongs, Yindalon, Newman, Jonathan D., Xia, Yuhe, Reynolds, Harmony R., Hochman, Judith S., Fishman, Glenn I., Berger, Jeffrey S.

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  3. 3
    Multiple Biomarker Approach to Risk Stratification in COVID-19

    Multiple Biomarker Approach to Risk Stratification in COVID-19 by Smilowitz, Nathaniel R., Nguy, Vuthy, Aphinyanaphongs, Yindalon, Newman, Jonathan D., Xia, Yuhe, Reynolds, Harmony R., Hochman, Judith S., Fishman, Glenn I., Berger, Jeffrey S.

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  4. 4
    Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning

    Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning by Hu, Yuxuan, Lui, Albert, Goldstein, Mark, Sudarshan, Mukund, Tinsay, Andrea, Tsui, Cindy, Maidman, Samuel D, Medamana, John, Jethani, Neil, Puli, Aahlad, Nguy, Vuthy, Aphinyanaphongs, Yindalon, Kiefer, Nicholas, Smilowitz, Nathaniel R, Horowitz, James, Ahuja, Tania, Fishman, Glenn I, Hochman, Judith, Katz, Stuart, Bernard, Samuel, Ranganath, Rajesh

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  5. 5
    A dynamic risk score for early prediction of cardiogenic shock using machine learning

    A dynamic risk score for early prediction of cardiogenic shock using machine learning by Hu, Yuxuan, Lui, Albert, Goldstein, Mark, Sudarshan, Mukund, Tinsay, Andrea, Tsui, Cindy, Maidman, Samuel, Medamana, John, Jethani, Neil, Puli, Aahlad, Nguy, Vuthy, Aphinyanaphongs, Yindalon, Kiefer, Nicholas, Smilowitz, Nathaniel, Horowitz, James, Ahuja, Tania, Fishman, Glenn I, Hochman, Judith, Katz, Stuart, Bernard, Samuel, Ranganath, Rajesh

    Published in arXiv.org
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