Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model
Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model is a scholarly work, published in 2024 in ''IEEE Access''. The main subjects of the publication include data mining, Ensemble forecasting, artificial intelligence, ensemble learning, health informatics, machine learning, health care, and computer science. The study conducted a thorough comparison of this proposed model against seven alternative machine learning algorithms, assessing them under two conditions: one with omitted missing values and another with the KNN imputer applied.