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Quasi Opposition-based Learning in Beluga Whale Optimization Feature Selection Approach for Diabetes Prediction in IoT System.
The prediction and classification of the Non-Communicable Disease (NCD) like diabetes is
significant for enhancing the survival rates of the patients. An integration of Internet of Things …
significant for enhancing the survival rates of the patients. An integration of Internet of Things …
K-Means and Fuzzy C-Means Cluster Food Nutrients for Innovative Diabetes Risk Assessment
Packaged food and beverages often pose a risk of increasing diabetes when consumed
regularly. This study aims to classify these products based on their nutritional content listed …
regularly. This study aims to classify these products based on their nutritional content listed …
[PDF][PDF] Optimizing Prediction of Cardiac Conditions Using Hyper-Adaboost-Integrated Machine Learning Models
Recent advancements in machine learning have played a crucial role in the healthcare
industry, particularly in predicting heart disease with assorted datasets. Despite the …
industry, particularly in predicting heart disease with assorted datasets. Despite the …
Elevating Accuracy: Enhanced Feature Selection Methods for Type 2 Diabetes Prediction
Diabetes, a metabolic disorder, poses significant annual risks due to various factors,
requiring effective management strategies to prevent life-threatening complications …
requiring effective management strategies to prevent life-threatening complications …