https://www.selleckchem.com/pr....oducts/sch-900776.ht
Predicting the risk of glycated hemoglobin (HbA ) elevation can help identify patients with the potential for developing serious chronic health problems, such as diabetes. Early preventive interventions based upon advanced predictive models using electronic health records data for identifying such patients can ultimately help provide better health outcomes. Our study investigated the performance of predictive models to forecast HbA elevation levels by employing several machine learning models. We also examined the use of patient elec
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