Retracted: Artificial Intelligence-Based Neural Network for the Diagnosis of Diabetes: Model Development

Area of Science:

• Medical technology
• Artificial intelligence in healthcare
• Diabetes diagnostics

Background:

• Rising diabetes incidence in China poses a significant public health challenge.
• Smart medicine leverages technology for disease diagnosis and treatment.
• The need for efficient and accurate diabetes diagnostic tools is critical.

Purpose of the Study:

• To apply artificial intelligence (AI) for the diagnosis of diabetes.
• To develop and evaluate an AI-powered system for diabetes detection.

Main Methods:

• An AI diagnostic model was developed using MATLAB and a backpropagation neural network.
• Data collection involved case integration and extraction with feature vector selection.
• An intelligent system integrated LabVIEW and MATLAB for diabetes diagnosis using user data.

Main Results:

• The AI system demonstrated improved diagnostic efficiency.
• The developed system effectively saves time for physicians in diagnosing diabetes.
• The AI model accurately diagnosed diabetes based on user data.

Conclusions:

• AI applications are beneficial for assisting in diabetes diagnosis.
• The developed AI system shows utility in clinical settings for diabetes detection.
• Further development of AI in smart medicine can enhance patient care.