Explainable and transparency machine learning approach to predict diabetes develop

ConclusionThe results indicate that algorithms like DNNs and KNNs offer reliable performance in predicting the risk of developing type 1 diabetes. The integration of Explainable AI techniques, specifically LIME, enhances the interpretability of predictions and provides insights into the factors influencing the disease. The developed CDSS based on XAI can potentially assist healthcare professionals in making informed clinical decisions, thereby improving patient care and management of type 1 diabetes.
Source: Health and Technology - Category: Information Technology Source Type: research