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Medical systems in general, and patient treatment decisions and outcomes in particular, are affected by bias based on gender and other demographic elements.
Understanding inverse document frequency: on theoretical arguments for idf
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Men and health help-seeking behaviour: literature review
P. M. Galdas, F. Cheater, and P. Marshall · 2005
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Hierarchical probabilistic neural network language model
F. Morin and Y. Bengio · 2005
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Gender bias in medicine
K. Hamberg · 2008
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The association of gender concordance and primary care physicians’ perceptions of their patients
R. Gross, R. McNeill, P. Davis, R. Lay-Yee, S. Jatrana, and P. Crampton · 2008
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Differential privacy: A survey of results
C. Dwork · 2008
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Automatic de-identification of textual documents in the electronic health record: a review of recent research
S. M. Meystre, F. J. Friedlin, B. R. South, S. Shen, and M. H. Samore · 2010
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Social media mining for drug safety signal detection
C. C. Yang, H. Yang, L. Jiang, and M. Zhang · 2012
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Helping medical learners recognise and manage unconscious bias toward certain patient groups
C. R. Teal, A. C. Gill, A. R. Green, and S. Crandall · 2012
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Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
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Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean · 2013
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Twitter: a good place to detect health conditions
V. M. Prieto, S. Matos, M. Alvarez, F. Cacheda, and J. L. Oliveira · 2014
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Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. D. Manning · 2014
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Creation of a new longitudinal corpus of clinical narratives
V. Kumar, A. Stubbs, S. Shaw, and Ö. Uzuner · 2015
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The case for process fairness in learning: Feature selection for fair decision making
N. Grgic-Hlaca, M. B. Zafar, K. P. Gummadi, and A. Weller · 2016
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A word-count approach to analyze linguistic patterns in the reflective writings of medical students
C.-W. Lin, M.-J. Lin, C.-C. Wen, and S.-Y. Chu · 2016
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Mimic-iii, a freely accessible critical care database
A. E. Johnson, T. J. Pollard, L. Shen, H. L. Li-Wei, M. Feng, M. Ghassemi, B. Moody, P. Szolovits, L. A. Celi, and R. G. Mark · 2016
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
T. Bolukbasi, K.-W. Chang, J. Y. Zou, V. Saligrama, and A. T. Kalai · 2016
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M. J. Kusner, J. R. Loftus, C. Russell, and R. Silva · 2017
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Sex differences in treatments, relative survival, and excess mortality following acute myocardial infarction: national cohort study using the swedeheart registry
O. A. Alabas, C. P. Gale, M. Hall, M. J. Rutherford, K. Szummer, S. S. Lawesson, J. Alfredsson, B. Lindahl, and T. Jernberg · 2017
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Impact of patient–provider race, ethnicity, and gender concordance on cancer screening: Findings from medical expenditure panel survey
J. Malhotra, D. Rotter, J. Tsui, A. A. Llanos, B. A. Balasubramanian, and K. Demissie · 2017
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Moliere: Automatic biomedical hypothesis generation system
J. Sybrandt, M. Shtutman, and I. Safro · 2017
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Data decisions and theoretical implications when adversarially learning fair representations
A. Beutel, J. Chen, Z. Zhao, and E. H. Chi · 2017
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De-identification of patient notes with recurrent neural networks
F. Dernoncourt, J. Y. Lee, O. Uzuner, and P. Szolovits · 2017
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Patient–physician gender concordance and increased mortality among female heart attack patients
B. N. Greenwood, S. Carnahan, and L. Huang · 2018
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Does diversity matter for health? experimental evidence from oakland
M. Alsan, O. Garrick, and G. C. Graziani · 2018
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Tuskegee and the health of black men
Clinicalbert: Modeling clinical notes and predicting hospital readmission
K. Huang, J. Altosaar, and R. Ranganath · 2019
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Clinical xlnet: Modeling sequential clinical notes and predicting prolonged mechanical ventilation
K. Huang, A. Singh, S. Chen, E. T. Moseley, C.-y. Deng, N. George, and C. Lindvall · 2019
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H. Gonen and Y. Goldberg · 2019
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Eda: Easy data augmentation techniques for boosting performance on text classification tasks
J. Wei and K. Zou · 2019
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Huggingface’s transformers: State-of-the-art natural language processing
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M. Alsan and M. Wanamaker · 2018
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Twitter health surveillance (ths) system
M. Rodríguez-Martínez and C. C. Garzón-Alfonso · 2018
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Digital epidemiology: what is it, and where is it going?
M. Salathé · 2018
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Expanding a radiology lexicon using contextual patterns in radiology reports
B. Percha, Y. Zhang, S. Bozkurt, D. Rubin, R. B. Altman, and C. P. Langlotz · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Deep contextualized word representations
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer · 2018
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Learning gender-neutral word embeddings
J. Zhao, Y. Zhou, Z. Li, W. Wang, and K.-W. Chang · 2018
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T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, J. Davison, S. Shleifer, P. von Platen, C. Ma, Y. Jernite, J. Plu, C. Xu, T. L. Scao, S. Gugger, M. Drame, Q. Lhoest, and A. M. Rush · 2019
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K. Ethayarajh · 2019
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Measuring bias in contextualized word representations
K. Kurita, N. Vyas, A. Pareek, A. W. Black, and Y. Tsvetkov · 2019
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Toward gender-inclusive coreference resolution
Y. T. Cao and H. Daumé III · 2019
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T. Manzini, Y. C. Lim, Y. Tsvetkov, and A. W. Black · 2019
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Hurtful words: quantifying biases in clinical contextual word embeddings
H. Zhang, A. X. Lu, M. Abdalla, M. McDermott, and M. Ghassemi · 2020
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Interpretable machine learning – a brief history, state-of-the-art and challenges, 2020
C. Molnar, G. Casalicchio, and B. Bischl · 2020
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A primer in bertology: What we know about how bert works
A. Rogers, O. Kovaleva, and A. Rumshisky · 2020
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Physician–patient racial concordance and disparities in birthing mortality for newborns
B. N. Greenwood, R. R. Hardeman, L. Huang, and A. Sojourner · 2020
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Ethics and governance for digital disease surveillance
M. M. Mello and C. J. Wang · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
J. Lee, W. Yoon, S. Kim, D. Kim, S. Kim, C. H. So, and J. Kang · 2020
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Investigating gender bias in language models using causal mediation analysis
J. Vig, S. Gehrmann, Y. Belinkov, S. Qian, D. Nevo, Y. Singer, and S. Shieber · 2020
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Masking actor information leads to fairer political claims detection
E. Dayanik and S. Padó · 2020
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Privacy guarantees for de-identifying text transformations
D. I. Adelani, A. Davody, T. Kleinbauer, and D. Klakow · 2020
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T. M. Pham, T. Bui, L. Mai, and A. Nguyen · 2020
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Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems
P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, T. J. Gray, M. R. Frank, A. J. Reagan, and C. M. Danforth · 2020
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Interpreting pretrained contextualized representations via reductions to static embeddings
R. Bommasani, K. Davis, and C. Cardie · 2020
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