Search Results - Finale Doshi-Velez

Finale Doshi-Velez

Doshi-Velez interviewed in 2017 Finale Doshi-Velez is a computer scientist and the John L. Loeb Professor of Engineering and Applied Sciences at Harvard University. She works on machine learning, computational statistics and healthcare. Provided by Wikipedia
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  1. 1
    Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition

    Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition by Lifeng Jin, Lane Schwartz, Finale Doshi-Velez, Timothy Miller, William Schuler

    Published 2021-03-01
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  2. 2
    Generalization in Clinical Prediction Models: The Blessing and Curse of Measurement Indicator Variables

    Generalization in Clinical Prediction Models: The Blessing and Curse of Measurement Indicator Variables by Joseph Futoma, PhD, Morgan Simons, MD, Finale Doshi-Velez, PhD, Rishikesan Kamaleswaran, PhD

    Published 2021-07-01
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  3. 3
    Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines

    Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines by Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy

    Published 2022-07-01
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  4. 4
    How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection

    How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection by Maia Jacobs, Melanie F. Pradier, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Krzysztof Z. Gajos

    Published 2021-02-01
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  5. 5
    Improving counterfactual reasoning with kernelised dynamic mixing models.

    Improving counterfactual reasoning with kernelised dynamic mixing models. by Sonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, Matthieu Komorowski, Aldo Faisal, Isabella Bon, Volker Roth, Finale Doshi-Velez

    Published 2018-01-01
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  6. 6
    An interpretable RL framework for pre-deployment modeling in ICU hypotension management

    An interpretable RL framework for pre-deployment modeling in ICU hypotension management by Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Robles Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez

    Published 2022-11-01
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  7. 7
    Association between prescriber practices and major depression treatment outcomes

    Association between prescriber practices and major depression treatment outcomes by Sarah Rathnam, Abhishek Sharma, Kamber L. Hart, Pilar F. Verhaak, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez

    Published 2024-12-01
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  8. 8
    Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder.

    Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder. by Todd Lingren, Pei Chen, Joseph Bochenek, Finale Doshi-Velez, Patty Manning-Courtney, Julie Bickel, Leah Wildenger Welchons, Judy Reinhold, Nicole Bing, Yizhao Ni, William Barbaresi, Frank Mentch, Melissa Basford, Joshua Denny, Lyam Vazquez, Cassandra Perry, Bahram Namjou, Haijun Qiu, John Connolly, Debra Abrams, Ingrid A Holm, Beth A Cobb, Nataline Lingren, Imre Solti, Hakon Hakonarson, Isaac S Kohane, John Harley, Guergana Savova

    Published 2016-01-01
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