The 2016 Ontario Marginalization Index utilizes 18 census variables to quantify residential instability, material deprivation, dependency, and ethnic concentration across 20,640 dissemination areas.
Older adults
Responsible artificial intelligence model for predicting delayed hospital discharge
Predictive accuracy, equity, and interpretability for delayed hospital discharge
Responsible AI models can balance predictive accuracy, equity, and interpretability for predicting delayed hospital discharge in older adults.
This study demonstrates the potential of responsible artificial intelligence in health care, emphasizing the need to balance predictive accuracy, equity, and interpretability. It uncovers systemic gaps and offers actionable insights for enhanced discharge planning, resource optimization, and equitable care delivery.
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Somayeh Ghazalbash
Manaf Zargoush
Sara J. T. Guilcher
JMIR Medical Informatics
University of Toronto
McMaster University
Trillium Health Centre
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Ghazalbash et al. (Mon,) reported a other. Ontario Marginalization Index (ON-Marg) was evaluated. The 2016 Ontario Marginalization Index utilizes 18 census variables to quantify residential instability, material deprivation, dependency, and ethnic concentration across 20,640 dissemination areas.
www.synapsesocial.com/papers/69df2c2fe4eeef8a2a6b1411 — DOI: https://doi.org/10.2196/83244