Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55820, first published .
Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

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

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

Journals

  1. Chisini L, Araújo C, Delpino F, Figueiredo L, Filho A, Schuch H, Nunes B, Demarco F. Dental services use prediction among adults in Southern Brazil: A gender and racial fairness-oriented machine learning approach. Journal of Dentistry 2025;161:105929 View
  2. Feng C, Deng F, Disis M, Gao N, Zhang L. Towards machine learning fairness in classifying multicategory causes of deaths in colorectal or lung cancer patients. Briefings in Bioinformatics 2025;26(4) View

Books/Policy Documents

  1. Kumar A, Mohapatra H, Mishra S. Transforming the Service Sector With New Technology. View

Conference Proceedings

  1. Endla P, Patel R, M J, V G, J J, D G. 2025 5th International Conference on Expert Clouds and Applications (ICOECA). Robust Methodology Design to Predict Opioid Overdose System based on AI Assisted Deep Learning Principles View