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#explainable ai Open access Sep 2026

Data Issues in AI Applications for Public Health — An Application of the C-E-A Framework: Compliance, Efficacy, and Autonomy

Data concepts relevant to AI applications in public health — such as availability, relevance, and representativeness — are usually explained in their general, basic sense for a broad readership of engineers and public health professionals alike, without being organized by what kind of practical failure each one represe...

Min Wu · 0 citations
#explainable ai Open access Sep 2026

Data Issues in AI Applications for Public Health — An Application of the C-E-A Framework: Compliance, Efficacy, and Autonomy

Data concepts relevant to AI applications in public health — such as availability, relevance, and representativeness — are usually explained in their general, basic sense for a broad readership of engineers and public health professionals alike, without being organized by what kind of practical failure each one represe...

Min Wu · 0 citations

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