Ethical Machine Learning in Health Care

Ethical Machine Learning in Health Care

22 September 2020

Kadija Ferryman

Marzyeh Ghassemi

Papers citing "Ethical Machine Learning in Health Care"

19 / 19 papers shown

Title
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients? Joshua Hatherley 29 1 0 31 Mar 2025
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data Xuhai Xu Bingsheng Yao Yu Dong Saadia Gabriel Hongfeng Yu James A. Hendler Marzyeh Ghassemi A. Dey Dakuo Wang LM&MA CLL AI4MH 37 64 0 26 Jul 2023
Towards unraveling calibration biases in medical image analysis María Agustina Ricci Lara Candelaria Mosquera Enzo Ferrante Rodrigo Echeveste 14 9 0 09 May 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa M. Asiedu Awa Dieng Abigail Oppong Margaret Nagawa Sanmi Koyejo Katherine A. Heller 45 7 0 05 Apr 2023
Individual Fairness under Uncertainty Wenbin Zhang Zichong Wang Juyong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 31 12 0 16 Feb 2023
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 33 11 0 13 Aug 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith M. Suriyakumar Marzyeh Ghassemi Berk Ustun 33 6 0 04 Jun 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 25 77 0 06 May 2022
Estimating Structural Disparities for Face Models Shervin Ardeshir Cristina Segalin Nathan Kallus CVBM 17 5 0 13 Apr 2022
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 17 40 0 30 Mar 2022
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine Ilker Demirel Ahmet Çelik Cem Tekin 29 4 0 26 Nov 2021
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR Yuyin Zhou Shih-Cheng Huang Jason Alan Fries Alaa Youssef T. Amrhein ... Imon Banerjee D. Rubin Lei Xing N. Shah M. Lungren 10 42 0 23 Nov 2021
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing Sindhu C. M. Gowda Shalmali Joshi Haoran Zhang Marzyeh Ghassemi CML 19 8 0 27 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 21 22 0 27 Aug 2021
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms A. Eloyan Sherri Rose TPM 15 0 0 14 Apr 2021
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization Griffin Adams Emily Alsentzer Mert Ketenci Jason Zucker Noémie Elhadad 35 46 0 12 Apr 2021
Clustering Interval-Censored Time-Series for Disease Phenotyping Irene Y. Chen Rahul G. Krishnan David Sontag OOD 9 16 0 13 Feb 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 370 0 09 May 2020
The Diversity-Innovation Paradox in Science Bas Hofstra V. V. Kulkarni Sebastian Munoz-Najar Galvez Bryan He Dan Jurafsky Daniel A. McFarland 27 666 0 04 Sep 2019