Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

The application of the proposed bias mitigation algorithm shows promise in reducing sociodemographic bias, with the WMV classifier confirming bias reduction and high performance in OUD prediction.

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Publication Details

Journal
JMIR AI
Published
2024-08-20
DOI
https://doi.org/10.2196/55820
Citations
7
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
3.80
Controls
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article

Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

Md. Noor‐E‐Alam, Mohammad Yaseliani, Md Mahmudul Hasan
7 citations
JMIR AI
Opioid Use Disorder Treatment
3.80
article

Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

Md. Noor‐E‐Alam, Mohammad Yaseliani, Md Mahmudul Hasan
article en
7 citations

Abstract

The application of the proposed bias mitigation algorithm shows promise in reducing sociodemographic bias, with the WMV classifier confirming bias reduction and high performance in OUD prediction.

JMIR AIVol. 3
Northeastern University (US), University of Florida (US)
Good health and well-being
Openalex Percentile: Top 6%
Opioid Use Disorder Treatment
3.80
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