Cargando…

Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review

BACKGROUND: Racial bias is a key concern regarding the development, validation, and implementation of machine learning (ML) models in clinical settings. Despite the potential of bias to propagate health disparities, racial bias in clinical ML has yet to be thoroughly examined and best practices for...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Jonathan, Galal, Galal, Etemadi, Mozziyar, Vaidyanathan, Mahesh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198828/ https://www.ncbi.nlm.nih.gov/pubmed/35639450 http://dx.doi.org/10.2196/36388

Ejemplares similares

Racial Equity in Healthcare Machine Learning: Illustrating Bias in Models With Minimal Bias Mitigation
por: Barton, Michael, et al.
Publicado: (2023)

The answer at our fingertips: Volume status in cirrhosis determined by machine learning and pulse oximeter waveform
por: Mazumder, Nikhilesh R., et al.
Publicado: (2022)

Mitigating bias in machine learning for medicine
por: Vokinger, Kerstin N., et al.
Publicado: (2021)

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
por: Yang, Jenny, et al.
Publicado: (2023)

An adversarial training framework for mitigating algorithmic biases in clinical machine learning
por: Yang, Jenny, et al.
Publicado: (2023)

Applications of machine learning in metabolomics: Disease modeling and classification
por: Galal, Aya, et al.
Publicado: (2022)

Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare
por: Kleinberg, Giona, et al.
Publicado: (2022)

Mitigating Bias and Error in Machine Learning to Protect Sports Data
por: Zhang, Jie, et al.
Publicado: (2022)

Hate speech detection and racial bias mitigation in social media based on BERT model
por: Mozafari, Marzieh, et al.
Publicado: (2020)

Mitigating Implicit Racial Bias in the Clinical Setting: A Qualitative Study of Family Medicine Residents
por: Goroncy, Anna
Publicado: (2021)

Amalgamation of cloud-based colonoscopy videos with patient-level metadata to facilitate large-scale machine learning
por: Keswani, Rajesh N., et al.
Publicado: (2021)

Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies
por: Wang, Rongguang, et al.
Publicado: (2023)

Novel Noninvasive Biosensors and Artificial Intelligence for Optimized Heart Failure Management
por: Neill, Luke, et al.
Publicado: (2022)

Bias in Medicine: Lessons Learned and Mitigation Strategies
por: Hammond, M. Elizabeth H., et al.
Publicado: (2021)

Pulse oximetry, racial bias and statistical bias
por: Tobin, Martin J., et al.
Publicado: (2022)

Addressing racial bias in wards
por: Tsai, Jennifer, et al.
Publicado: (2018)

Mitigating gender bias in student evaluations of teaching
por: Peterson, David A. M., et al.
Publicado: (2019)

Racial Categorization Predicts Implicit Racial Bias in Preschool Children
por: Setoh, Peipei, et al.
Publicado: (2017)

Machine-learning media bias
por: D’Alonzo, Samantha, et al.
Publicado: (2022)

Statistical quantification of confounding bias in machine learning models
por: Spisak, Tamas
Publicado: (2022)

Mitigating selection bias in organ allocation models
por: Schnellinger, Erin M., et al.
Publicado: (2021)

A machine learning model with human cognitive biases capable of learning from small and biased datasets
por: Taniguchi, Hidetaka, et al.
Publicado: (2018)

Racial Bias in Perceptions of Others’ Pain
por: Trawalter, Sophie, et al.
Publicado: (2012)

Understanding racial bias through electroencephalography
por: Manfredi, Mirella, et al.
Publicado: (2023)

Predicting prenatal depression and assessing model bias using machine learning models
por: Huang, Yongchao, et al.
Publicado: (2023)

Addressing racial disparities in surgical care with machine learning
por: Halamka, John, et al.
Publicado: (2022)

“Racial Bias…I’m Not Sure if It Has Affected My Practice”: a Qualitative Exploration of Racial Bias in Team-Based Primary Care
por: Brown-Johnson, Cati, et al.
Publicado: (2020)

Racial Bias in the US Opioid Epidemic: A Review of the History of Systemic Bias and Implications for Care
por: Santoro, Taylor N, et al.
Publicado: (2018)

Clinically informed machine learning elucidates the shape of hospice racial disparities within hospitals
por: Khayal, Inas S., et al.
Publicado: (2023)

Bias Mitigation in Cardiothoracic Recruitment
por: Erkmen, Cherie Parungo, et al.
Publicado: (2021)

Propranolol reduces implicit negative racial bias
por: Terbeck, Sylvia, et al.
Publicado: (2012)

Racial Bias in Neural Empathic Responses to Pain
por: Contreras-Huerta, Luis Sebastian, et al.
Publicado: (2013)

Correction: Racial Bias in Perceptions of Others' Pain
por: Trawalter, Sophie, et al.
Publicado: (2016)

Racial Bias in National Football League Officiating
por: Eiserloh, Dawson G., et al.
Publicado: (2020)

Editorial: Gender and Racial Bias in Sport Organizations
por: Cunningham, George B., et al.
Publicado: (2021)

Learning positive social information reduces racial bias as indexed by N400 response
por: Brusa, Alessandra, et al.
Publicado: (2021)

Not all biases are bad: equitable and inequitable biases in machine learning and radiology
por: Pot, Mirjam, et al.
Publicado: (2021)

Enabling Continuous Wearable Reflectance Pulse Oximetry at the Sternum
por: Chan, Michael, et al.
Publicado: (2021)

Controlling bias in research
por: Vaidyanathan, Anand Kumar
Publicado: (2022)

Evaluation of Flexibility, Microstructure and Elemental Analysis of Some Contemporary Nickel-Titanium Rotary Instruments
por: Hamdy, Tamer M., et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ramisirrc8gpoa460g8d3ha78a