Home ›
Entities
› academia
› Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance
Research article (ACM Transactions on Computing for Healthcare, 2022) · cited 25× · AI/ML
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance
Summary
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance is a scholarly article[1].
Key Facts
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-bias-mitigation-for-textual-data-reducing-genderization-in-patient-notes-while-maintaining-classification-
MLA“Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-bias-mitigation-for-textual-data-reducing-genderization-in-patient-notes-while-maintaining-classification-.
BibTeX@misc{4ortxyz_interpretable-bias-mitigation-for-textual-data-reducing-genderization-in-patient-notes-while-maintaining-classification-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-bias-mitigation-for-textual-data-reducing-genderization-in-patient-notes-while-maintaining-classification-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance — https://4ort.xyz/entity/interpretable-bias-mitigation-for-textual-data-reducing-genderization-in-patient-notes-while-maintaining-classification- (retrieved 2026-05-24)