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Research Proposal 4.4

Data Quality And Bias in Artificial Intelligence for Elderly Patients: Post-Pandemic Lessons

36
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IEEE
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~ 38–53 mins
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Open Banking Supply Chain Impact
Abstract

This research proposal investigates “Data Quality And Bias in Artificial Intelligence for Elderly Patients: Post-Pandemic Lessons” using a propensity score matching. Through a behavioral lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Data Quality And Bias in Artificial Intelligence for Elderly Patients: Post-Pandemic Lessons

ABSTRACT
Data Quality And Bias in Artificial Intelligence for Elderly Patients: Post-Pandemic Lessons is unpacked across themes: ethics, scalability, benefits, and change enablement. Limitations and future research paths are noted.
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