“CHECKPRIVATE”: Artificial Intelligence Powered Mobile Application to Enhance the Well-Being of Sexually Transmitted Disease Patients in Sri Lanka under Cultural Barriers.

Autor: W. A. M. A. R., Fernando, U. G. O. C., Jinadasa, B. P. A., Amarasinghe, M. T., Mandalawatta, Samarakoon, Uthpala, Gamage, Manori
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Zdroj: International Research Journal of Innovations in Engineering & Technology; Oct2023, Vol. 7 Issue 10, p230-240, 11p
Abstrakt: The increase in sexually transmitted diseases (STDs) is a significant public health crisis that requires immediate attention and action. Like many other countries, Sri Lanka faces a significant rise in social diseases due to a lack of education and awareness about the dangers of STDs. There are nine significant STDs affecting populations globally, and in Sri Lanka, they mainly focus on Gonorrhea, Syphilis, Genital Herpes, and HIV diseases. The few available applications only cover a limited number of easily detected STDs, leaving a significant gap in the ability to track and manage the spread of these diseases. Utilizing technology and data to improve the tracking and management of STDs is crucial to preventing the spread of these diseases and providing early intervention and treatment. This requires a comprehensive approach that involves educating the public about the dangers of STDs, increasing access to affordable healthcare services for early detection and treatment, and utilizing technology and data to improve the tracking and management of these diseases. The mobile application targets a wide range of users, including STD patients, recovered patients, and individuals unaware of their STD status. The application harnesses the power of cutting-edge technologies such as image detection, symptom-based identification, prevention methods, doctor and clinic recommendations, and virtual counsellor chat to provide a holistic approach to STD management. It is recognized that CNN, Machine Learning, Artificial Intelligence, and NLP-based solutions can be provided to solve this problem. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index