Canlyniadau Chwilio - Rajesh Ranganath

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  1. 1
    Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data

    Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data gan Jeremy R. Manning, Rajesh Ranganath, Kenneth A. Norman, David M. Blei

    Cyhoeddwyd 2014
    Cael y testun llawn Cael y testun llawn
    Artigo
    Ychwanegu at ffefrynnau
    Wedi'i Gadw mewn:
  2. 2
    Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

    Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis gan Adler Perotte, Rajesh Ranganath, Jamie S. Hirsch, David M. Blei, Noémie Elhadad

    Cyhoeddwyd 2015
    Cael y testun llawn Cael y testun llawn
    Artigo
    Ychwanegu at ffefrynnau
    Wedi'i Gadw mewn:
  3. 3
    Deep learning models for electrocardiograms are susceptible to adversarial attack

    Deep learning models for electrocardiograms are susceptible to adversarial attack gan Xintian Han, Yuxuan Hu, Luca Foschini, Larry A. Chinitz, Lior Jankelson, Rajesh Ranganath

    Cyhoeddwyd 2020
    Cael y testun llawn
    Artigo
    Ychwanegu at ffefrynnau
    Wedi'i Gadw mewn:
  4. 4
    Practical guidance on artificial intelligence for health-care data

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

    Cyhoeddwyd 2019
    Cael y testun llawn Cael y testun llawn
    Artigo
    Ychwanegu at ffefrynnau
    Wedi'i Gadw mewn:
  5. 5
    AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation

    AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation gan Shalmali Joshi, Iñigo Urteaga, Wouter A. C. van Amsterdam, George Hripcsak, Pierre Elias, Benjamin Recht, Noémie Elhadad, James C. Fackler, Mark Sendak, Jenna Wiens, Kaivalya Deshpande, Yoav Wald, Madalina Fiterau, Zachary C. Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath

    Cyhoeddwyd 2025
    Cael y testun llawn
    Artigo
    Ychwanegu at ffefrynnau
    Wedi'i Gadw mewn:
  6. 6
    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 gan 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

    Cyhoeddwyd 2021
    Cael y testun llawn Cael y testun llawn
    Revisão
    Ychwanegu at ffefrynnau
    Wedi'i Gadw mewn:
  7. 7
    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 gan Narges Razavian, Vincent J. Major, Mukund Sudarshan, Jesse Burk‐Rafel, Peter Stella, Hardev Randhawa, Seda Bilaloglu, Ji Chen, Vuthy Nguy, Walter Wang, Hao Zhang, Ilan Reinstein, David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Siddhant Dogra, Keerthi Harish, Brian P. Bosworth, Fritz François, Leora I. Horwitz, Rajesh Ranganath, Jonathan Austrian, Yindalon Aphinyanaphongs

    Cyhoeddwyd 2020
    Cael y testun llawn Cael y testun llawn
    Artigo
    Ychwanegu at ffefrynnau
    Wedi'i Gadw mewn:

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