Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

ACM Conference on Health, Inference, and Learning (CHIL), 2020

11 March 2020

H. Zhang

Amy X. Lu

Mohamed Abdalla

Matthew B. A. McDermott

Marzyeh Ghassemi

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Papers citing "Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings"

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Unintended Bias in Language Model-driven Conversational Recommendation Tianshu Shen Jiaru Li Mohamed Reda Bouadjenek Zheda Mai Scott Sanner 135 7 0 17 Jan 2022
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models Betty van Aken S. Herrmann Alexander Loser 88 12 0 30 Nov 2021
Two-step adversarial debiasing with partial learning -- medical image case-studies R. Correa J. Jeong Bhavik Patel Hari M. Trivedi J. Gichoya Imon Banerjee MedIm 76 16 0 16 Nov 2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers B. Shickel P. Tighe A. Bihorac Parisa Rashidi 98 5 0 09 Nov 2021
Pre-trained Language Models in Biomedical Domain: A Systematic SurveyACM Computing Surveys (CSUR), 2021 Benyou Wang Qianqian Xie Jiahuan Pei Zhihong Chen Prayag Tiwari Zhao Li Jie Fu LM&MA AI4CE 307 195 0 11 Oct 2021
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CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge NotesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 J. Mullenbach Yada Pruksachatkun Sean Adler Jennifer Seale Jordan Swartz T. McKelvey Hui Dai Yi Yang David Sontag 100 18 0 04 Jun 2021
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On the Impact of Random Seeds on the Fairness of Clinical ClassifiersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Silvio Amir Jan-Willem van de Meent Byron C. Wallace 51 18 0 13 Apr 2021
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance J. Minot N. Cheney Marc E. Maier Danne C. Elbers C. Danforth P. Dodds FaML 54 4 0 10 Mar 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 111 31 0 12 Feb 2021
Towards Fairness in Classifying Medical Conversations into SOAP Sections Elisa Ferracane Sandeep Konam FaML 61 6 0 02 Dec 2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLPClinical Natural Language Processing Workshop (ClinicalNLP), 2020 John Chen Ian Berlot-Attwell Safwan Hossain Xindi Wang Frank Rudzicz FaML 98 8 0 19 Nov 2020
Exploring Gender Disparities in Time to Diagnosis Tony Y. Sun IV OliverJ.BearDon'tWalk Jennifer L. Chen H. R. Nieva Noémie Elhadad 82 6 0 11 Nov 2020
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research Lucy Havens Melissa Mhairi Terras Benjamin Bach Beatrice Alex 106 25 0 11 Nov 2020
(Un)fairness in Post-operative Complication Prediction Models Sandhya Tripathi Bradley A. Fritz M. Abdelhack M. Avidan Yixin Chen C. King 71 4 0 03 Nov 2020
UnQovering Stereotyping Biases via Underspecified QuestionsFindings (Findings), 2020 Tao Li Tushar Khot Daniel Khashabi Ashish Sabharwal Vivek Srikumar 248 150 0 06 Oct 2020
Ethical Machine Learning in Health CareAnnual Review of Biomedical Data Science (ARBDS), 2020 Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 317 449 0 22 Sep 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 222 128 0 20 Jul 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 544 1,436 0 28 May 2020