Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction

Overview of attention for article published in BMJ Health & Care Informatics, April 2022

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In the top 5% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#11 of 492)
High Attention Score compared to outputs of the same age (96th percentile)
High Attention Score compared to outputs of the same age and source (91st percentile)

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twitter: 19 X users

Citations

dimensions_citation: 28 Dimensions

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So far, Dimensions has found 28 publications that cite this research output.

28

The most recent citing publications are shown below. View all 28 publications that cite this research output on Dimensions.

Evaluating Fair Feature Selection in Machine Learning for Healthcare

Preprint in arXiv (March 2024)

The Pursuit of Fairness in Artificial Intelligence Models: A Survey

Preprint in arXiv (March 2024)

Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

Article in EClinicalMedicine (March 2024)

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