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From raw data to actionable insights: preprocessing real-world data for machine learning in diabetes care
0
Zitationen
12
Autoren
2026
Jahr
Abstract
ML models' performance and their explanation did not vary substantially across experimental conditions, with worse baseline values being predictors of HbA1c decrease at three years. Insights such as this, extracted by ML application to RWD, enable clinical discussion and may foster improvements in patient management.
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