List of works - Finale Doshi-Velez

Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models

scientific article published on 01 May 2020

Author Correction: Do no harm: a roadmap for responsible machine learning for health care

scientific article published on 01 October 2019

Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning

scientific article published on February 2015

Big Data in the Assessment of Pediatric Medication Safety

scientific article published on 14 January 2020

Combining Kernel and Model Based Learning for HIV Therapy Selection

scientific article

Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis

scientific article published on 09 December 2013

Do no harm: a roadmap for responsible machine learning for health care

scientific article published on 19 August 2019

Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder

scientific article published on 29 July 2016

Evaluating Machine Learning Articles

scientific article published on 01 November 2019

Guidelines for reinforcement learning in healthcare

scientific article published in January 2019

Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations

scientific article

Human-in-the-Loop Interpretability Prior ⬇️

Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning

scientific article published on 30 May 2020

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

scientific article published on 05 December 2018

Improving counterfactual reasoning with kernelised dynamic mixing models

scientific article published in PLoS ONE

Improving safety and operational efficiency in residential care settings with WiFi-based localization.

scientific article published on July 2012

Interpretable Batch IRL to Extract Clinician Goals in ICU Hypotension Management

scientific article published on 30 May 2020

Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction ⬇️

PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models.

scientific article published on 29 August 2017

Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation

scientific article published on 14 September 2020

Predicting intervention onset in the ICU with switching state space models

scientific article

Predicting treatment dropout after antidepressant initiation

scientific article published on 06 February 2020

Prevalence of Inflammatory Bowel Disease Among Patients with Autism Spectrum Disorders

scientific article published on 25 July 2015

Representation Balancing MDPs for Off-policy Policy Evaluation ⬇️

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes ⬇️

scientific article published in January 2017

The myth of generalisability in clinical research and machine learning in health care

scientific article published on 24 August 2020

Towards A Rigorous Science of Interpretable Machine Learning

scientific article published on 28 February 2017

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.

scientific article published on 5 October 2016

Unfolding Physiological State: Mortality Modelling in Intensive Care Units

scientific article

List of works by Finale Doshi-Velez

Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models

Author Correction: Do no harm: a roadmap for responsible machine learning for health care

Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning

Big Data in the Assessment of Pediatric Medication Safety

Combining Kernel and Model Based Learning for HIV Therapy Selection

Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis

Do no harm: a roadmap for responsible machine learning for health care

Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder

Evaluating Machine Learning Articles

Guidelines for reinforcement learning in healthcare

Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations

Human-in-the-Loop Interpretability Prior ⬇️

Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Improving counterfactual reasoning with kernelised dynamic mixing models

Improving safety and operational efficiency in residential care settings with WiFi-based localization.

Interpretable Batch IRL to Extract Clinician Goals in ICU Hypotension Management

Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction ⬇️

PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models.

Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation

Predicting intervention onset in the ICU with switching state space models

Predicting treatment dropout after antidepressant initiation

Prevalence of Inflammatory Bowel Disease Among Patients with Autism Spectrum Disorders

Representation Balancing MDPs for Off-policy Policy Evaluation ⬇️

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes ⬇️

The myth of generalisability in clinical research and machine learning in health care

Towards A Rigorous Science of Interpretable Machine Learning

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.

Unfolding Physiological State: Mortality Modelling in Intensive Care Units