Finale Doshi-Velez

Finale Doshi-Velez

Harvard University

Associate Professor

Computer Science

Research Area

  • #Artificial intelligence
  • #Machine learning
  • #Computer science
  • #Medicine
  • #Psychology
  • #Health care
  • #Reinforcement learning
  • #Pediatrics
  • #Medical record
  • #Autism

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Related papers to
‘ Artificial intelligence ‘ : 10

  • A Bayesian framework for learning rule sets for interpretable classification

    2017/01

    2.3 Impact Factor

    139 citations

    Tong Wang, Cynthia Rudin, F. Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Probabilistic logic
    • #Bayesian probability
    • #Decision tree
    • #Association rule learning
    • #Interpretability
    • #Disjunctive normal form
    • #Bayesian inference
    • #Learning rule

All papers authored by
‘ Finale Doshi-Velez ’ : 23

  • Comorbidity Clusters in Autism Spectrum Disorders: An Electronic Health Record Time-Series Analysis

    2014/01
    PEDIATRICS

    5.5 Impact Factor

    325 citations

    F. Doshi-Velez, Yaorong Ge, Isaac Kohane

    DOI : 10.1542/PEDS.2013-0819

    • #Medicine
    • #Pediatrics
    • #Etiology
    • #Comorbidity
    • #Medical record
    • #Autism
    • #Medical diagnosis
    • #Electronic health record
    • #Auditory disorders
    • #Genetic association

Related papers to
‘ Artificial intelligence ‘ : 10

  • A Bayesian framework for learning rule sets for interpretable classification

    2017/01
    JOURNAL OF MACHINE LEARNING RESEARCH

    2.3 Impact Factor

    139 citations

    Tong Wang, Cynthia Rudin, F. Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Probabilistic logic
    • #Bayesian probability
    • #Decision tree
    • #Association rule learning
    • #Interpretability
    • #Disjunctive normal form
    • #Bayesian inference
    • #Learning rule
  • Guidelines for reinforcement learning in healthcare

    2019/01
    NATURE MEDICINE

    36.1 Impact Factor

    126 citations

    Omer Gottesman, Fredrik Johansson, Matthieu Komorowski, Aldo Faisal, David Sontag, F. Doshi-Velez, Leo Anthony Celi

    DOI : 10.1038/S41591-018-0310-5

    • #Psychology
    • #Artificial intelligence
    • #Medical education
    • #Health care
    • #MEDLINE
    • #Observational study
    • #Reinforcement learning
    • #Clinical decision making
    • #Patient treatment
    • #Deep learning

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Contact information

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All papers authored by
‘ Finale Doshi-Velez ’ : 23

  • Comorbidity Clusters in Autism Spectrum Disorders: An Electronic Health Record Time-Series Analysis

    2014/01
    PEDIATRICS

    5.5 Impact Factor

    325 citations

    F. Doshi-Velez, Yaorong Ge, Isaac Kohane

    DOI : 10.1542/PEDS.2013-0819

    • #Medicine
    • #Pediatrics
    • #Etiology
    • #Comorbidity
    • #Medical record
    • #Autism
    • #Medical diagnosis
    • #Electronic health record
    • #Auditory disorders
    • #Genetic association
  • Do no harm: a roadmap for responsible machine learning for health care.

    2019/01
    NATURE MEDICINE

    36.1 Impact Factor

    142 citations

    Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Vincent X. Liu, F. Doshi-Velez, Kenneth Jung, Katherine Heller, David Kale, Mohammed Saeed, Pilar N. Ossorio, Sonoo Thadaney-Israni, Anna Goldenberg

    DOI : 10.1038/S41591-019-0548-6

    • #Psychology
    • #Nursing
    • #Health care
    • #MEDLINE
    • #Psychological intervention
    • #Software deployment
    • #Systematic process
    • #Do no harm
    • #In patient

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