Titlebook: Database and Expert Systems Applications - DEXA 2023 Workshops; 34th International C Gabriele Kotsis,A Min Tjoa,Maqbool Khan Conference pro

committed

Blasphemy

hypertension

Gis and Social Vulnerability Analysisset of features relevant to the prediction of diabetes disease. The performance of each algorithm is evaluated using the Pima Indians Diabetes Dataset and Korean National Health and Nutrition Dataset. Experimental results show that the GBDT algorithm performs the best in predicting the disease with the highest accuracy.

窩轉脊椎動物

A Context Ontology-Based Model to?Mitigate Root Causes of?Uncertainty in?Cyber-Physical Systemstation. The proposed COUM model intends to identify and mitigate the root causes of uncertainty to improve the dependability of CPS. The COUM model is applied to the Care-o-Bot system to address its uncertainties and increase its reliability.

visual-cortex

極微小

An Effective Feature Selection for Diabetes Predictionset of features relevant to the prediction of diabetes disease. The performance of each algorithm is evaluated using the Pima Indians Diabetes Dataset and Korean National Health and Nutrition Dataset. Experimental results show that the GBDT algorithm performs the best in predicting the disease with the highest accuracy.