Хайлтын үр дүнгүүд - Tristan Naumann

  • 9-н 1 - 9 үр дүнгүүдийг харуулж байна
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  1. 1
    Natural Language Processing for EHR-Based Computational Phenotyping

    Natural Language Processing for EHR-Based Computational Phenotyping -н Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo

    Хэвлэсэн 2018
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    Revisão
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  2. 2
    Practical guidance on artificial intelligence for health-care data

    Practical guidance on artificial intelligence for health-care data -н Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath

    Хэвлэсэн 2019
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    Artigo
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  3. 3
    MIMIC-Extract

    MIMIC-Extract -н Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Marzyeh Ghassemi, Michael C. Hughes, Tristan Naumann

    Хэвлэсэн 2020
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    Pré-impressão
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  4. 4
    A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data

    A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data -н Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas J. Brennan, David A. Clifton, Peter Szolovits, Mengling Feng

    Хэвлэсэн 2015
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    Artigo
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  5. 5
    Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

    Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact -н Aparna Balagopalan, Ioana Baldini, Leo Anthony Celi, Judy Wawira Gichoya, Liam G. McCoy, Tristan Naumann, Uri Shalit, Mihaela van der Schaar, Kiri L. Wagstaff

    Хэвлэсэн 2024
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    Artigo
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  6. 6
    Trends and Focus of Machine Learning Applications for Health Research

    Trends and Focus of Machine Learning Applications for Health Research -н Brett K. Beaulieu‐Jones, Samuel G. Finlayson, Corey Chivers, Irene A. Chen, Matthew B. A. McDermott, Jaz Kandola, Adrian V. Dalca, Andrew L. Beam, Madalina Fiterau, Tristan Naumann

    Хэвлэсэн 2019
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    Artigo
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  7. 7
    Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference

    Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference -н Omar Badawi, Thomas P. Brennan, Leo Anthony Celi, Mengling Feng, Marzyeh Ghassemi, Andrea Ippolito, Alistair E. W. Johnson, Roger G. Mark, Louis Mayaud, G.B. Moody, Christopher Moses, Tristan Naumann, Vipan Nikore, Marco A. F. Pimentel, Tom Pollard, Mauro César de Oliveira Santos, David J. Stone, Andrew J. Zimolzak

    Хэвлэсэн 2014
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    Artigo
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  8. 8
    The role of machine learning in clinical research: transforming the future of evidence generation

    The role of machine learning in clinical research: transforming the future of evidence generation -н E. Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Yuan Luo, Daniel F. Freitag, James Benoit, Michael C. Hughes, Faisal M. Khan, Paul Slater, Khader Shameer, Matthew T. Roe, Emmette R. Hutchison, Scott H. Kollins, Uli C. Broedl, Zhaoling Meng, Jennifer Wong, Lesley H. Curtis, Erich Huang, Marzyeh Ghassemi

    Хэвлэсэн 2021
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    Revisão
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  9. 9
    Toward a responsible future: recommendations for AI-enabled clinical decision support

    Toward a responsible future: recommendations for AI-enabled clinical decision support -н Steven E. Labkoff, Bilikis Oladimeji, Joseph Kannry, Anthony Solomonides, Russell Leftwich, Eileen Koski, Amanda L. Joseph, Monica López-González, Lee A. Fleisher, Kimberly Nolen, Sayon Dutta, Deborah R Levy, Amy Price, Paul Barr, Jonathan D. Hron, Baihan Lin, Gyana Srivastava, Núria Pastor, Unai Sánchez Luque, Tien Thi Thuy Bui, Reva Singh, T. A. Williams, Mark G. Weiner, Tristan Naumann, Dean F. Sittig, Gretchen Purcell Jackson, Yuri Quintana

    Хэвлэсэн 2024
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    Artigo
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