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Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine Learning
21
Zitationen
8
Autoren
2023
Jahr
Abstract
In this qualitative study of data set experts, participants contributed to the development of a grounded framework for AI data set quality. Data set AI readiness required the concerted appraisal of many elements and the balancing of transparency and ethical reflection against pragmatic constraints. The movement toward more reliable, relevant, and ethical AI and ML applications for patient care will inevitably require strategic updates to data set creation practices.
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