A Novel Grammar-Based Approach for Disease Diagnosis Information Sharing
Author Information
Author(s): Nag Sanjay, Basu Nabanita, Bose Payal, Bandyopadhyay Samir Kumar
Primary Institution: Swami Vivekananda University
Hypothesis
Can a grammar-based approach improve the confidentiality and integrity of disease diagnosis information sharing?
Conclusion
The proposed grammar-based system allows for secure and efficient sharing of disease diagnosis information using QR codes.
Supporting Evidence
- The system can be implemented for any disease detection, including clinical and diagnostic imaging.
- QR codes allow patients to carry their medical information securely.
- The approach enhances the confidentiality of sensitive medical data.
Takeaway
This study shows a new way to share medical information safely using QR codes that represent symptoms and diagnoses, making it easier for patients and doctors.
Methodology
The study uses a grammar-based approach to encode symptoms and diagnoses into QR codes for secure sharing.
Limitations
The study focuses only on influenza and coronavirus, limiting the generalizability of the findings to other diseases.
Digital Object Identifier (DOI)
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