In today’s digital era, technology continues to evolve and significantly impacts various fields, including healthcare. One of the latest innovations is the use of artificial intelligence (AI) technology to detect Alzheimer’s disease. Research published in a journal by Universitas Airlangga reveals an innovative method for predicting Alzheimer’s using Convolutional Neural Network (CNN) and Support Vector Machine (SVM) on a chatbot platform with MRI data. This article will discuss this method and its implications in the healthcare world.
Background
Alzheimer’s disease is one of the most common forms of dementia, affecting millions of people worldwide. Early detection is crucial for improving patients’ quality of life and providing appropriate interventions. With technological advancements, the use of AI in diagnosing Alzheimer’s shows great potential.
Research Methodology
This study employs the following approach:
- MRI Data: Magnetic Resonance Imaging (MRI) scans are used as the primary data source for analysis.
- Convolutional Neural Network (CNN): CNN is applied to extract features from MRI images. This method is effective in recognizing complex patterns in visual data.
- Support Vector Machine (SVM): After feature extraction, SVM is used for data classification, distinguishing between healthy individuals and those at risk of developing Alzheimer’s.
- Chatbot Platform: Integration with a chatbot allows users to obtain predictions interactively and accessibly.
Results and Discussion
The research findings indicate that the combination of CNN and SVM can enhance accuracy in predicting Alzheimer’s compared to traditional methods. The use of a chatbot platform also provides convenience for users in accessing information and obtaining early diagnoses.
Advantages of This Approach:
- High Accuracy: This method demonstrates a better accuracy rate in detecting Alzheimer’s.
- Accessibility: With the chatbot, information can be accessed anytime and anywhere.
- Interactive: Users can interact directly and receive quick feedback.
Conclusion
The innovation in using AI to detect Alzheimer’s through CNN and SVM on a chatbot platform presents new hope in early diagnosis efforts. This research not only contributes to science but also has the potential to improve patients’ quality of life. By continuously developing this technology, it is hoped that more effective solutions for managing Alzheimer’s disease can be created.
Link Journal : https://scholar.unair.ac.id/en/publications/alzheimers-prediction-via-cnn-svm-on-chatbot-platform-with-mri