International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

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

Abstract

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.

Country : Sri Lanka

1 Fernando W.A.M.A.R2 Jinadasa U.G.O.C3 Amarasinghe B.P.A4 Mandalawatta M.T5 Mrs. Uthpala Samarakoon6 Mrs. Manori Gamage

  1. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 230-241

doi.org/10.47001/IRJIET/2023.710030

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References

  1. WHO, Guidelines for the management of symptomatic sexually transmitted infections, 2021.
  2. "Ministry of Health Sri Lanka," [Online]. Available: http://www.health.gov.lk/moh_final/english/hospital_government.php?spid=24.
  3. S. K. J. C. S. S. Jayawardena KA, "Behavioural risk factors of men associated with transmission of sexually transmitted infections (STIs) in Sri Lanka.," National Library of Medicine, pp. 69-75, 2012.
  4. N. S. C. P. S. L. Sexual Health Promotion Unit, "Annual Report 2022," National STD/AIDS Control Programme, Ministry of Health, Sri Lanka, Colombo, 2023.
  5. S. L. National STD/AIDS Control Programme, "KNOW4SURE.lk," [Online]. Available: https://www.know4sure.lk/assessment/201#
  6. C. f. D. C. a. Prevention, "STI Tx Guide," [Online]. Available: https://play.google.com/store/apps/details?id=gov.cdc.stdtxguide&hl=en&gl=US.
  7. C. f. D. C. a. Prevention, "Sexually Transmitted Diseases (STDs)," [Online]. Available: https://www.cdc.gov/std/syphilis/images.htm.
  8. N. L. O. Medicine, "Open Access Biomedical Image Search Engine," [Online]. Available: https://openi.nlm.nih.gov/.
  9. "University of Rochester Medical Center Rochester," [Online]. Available: https://www.urmc.rochester.edu/.
  10. "DermNet," [Online]. Available: https://dermnetnz.org/.
  11. N. S. R. V. N. a. A. D. P. Hema, "Disease Prediction using Symptoms based on Machine Learning Algorithms," in International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT), Visakhapatnam, India, 2022.
  12. "Sexually transmitted diseases (STDs)," Mayo Clinic, [Online]. Available: https://www.mayoclinic.org/diseases-conditions/sexually-transmitted-diseases-stds/symptoms-causes/syc-20351240.
  13. "Geolocation API overview," Google Maps Platform, [Online]. Available: https://developers.google.com/maps/documentation/geolocation/overview.
  14. W. E. Contributors, "Understanding Sexually Transmitted Disease Prevention," WebMD LLC, 2023.
  15. M. R. L. –. Asia, "Personalized Recommendation Systems: Five Hot Research Topics You Must Know," Microsoft, [Online]. Available: https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/articles/personalized-recommendation-systems/.
  16. I. LiveChat, "ChatBot," [Online]. Available: https://www.chatbot.com/docs/
  17. S. S. Singh S, "Psychological health and well-being in patients with sexually transmitted infections: A prospective cross-sectional study," Indian Journal of sexually transmitted diseases and AIDS, pp. 125-131, 2021
  18. "Creating ChatBot Using Natural Language Processing in Python," 14 April 2022. [Online]. Available: https://www.section.io/engineering-education/creating-chatbot-using-natural-language-processing-in-python/
  19. N. website, "Sexually transmitted infections (STIs)," 25 June 2021.
  20. WHO, "Integrating HIV and mental health services for better overall health," [Online]. Available: https://www.who.int/news/item/02-05-2022-integrating-hiv-and-mental-health-services-for-better-overall-health.
  21. J. L. R. S. N. C. L. S. A. B. K. C. D. O. U. M. T. P. A. W. Y. M. O. a. S. K. S. Iván C. Balán, "SMARTtest: A smartphone app to facilitate HIV and syphilis self- and partner-testing, interpretation of results and linkage to care," National Library of Medicine, vol. 24(5), p. 1560–1573., 2020.
  22. A. T. T. E. B. P. A. G. Z. N. a. C. L. M. v. H. Liesbeth F. Mieras, "The Development of a Mobile Application to Support Peripheral Health Workers to Diagnose and Treat People with Skin Diseases in Resource-Poor Settings," National Library of Medicine, Vols. 3,3, p. 102, 2018.R. K. &. L. A. Ahmad Raeesi, "Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale," BMC Medical Informatics and Decision Making, vol. 22, p. 281, 2022.
  23. S. S. 2. Z. P. 2. P. M. 2. A. B. 3. F. V. 4. K. Q. 5. M. M. T. 4. 6. Z. N. 7. A. K. 4. M. M. 8. M. H. 1. Esmaeil Mehraeen 1, "Mobile applications in HIV self-management: A systematic review of scientific literature," National Library of Medicine, Vols. 24,1, pp. 24-31, 20222.
  24. L. Z. Y. Z. K. W. X. Z. J. W. &. G. W. Haidong Wang, "The use of geosocial networking smartphone applications and the risk of sexually transmitted infections among men who have sex with men: a systematic review and meta-analysis," BMC Public Health, vol. 18, p. 1178, 2018.
  25. A. R. A. A. Q. Patoli, "Syndromic Management of Sexually Transmitted Diseases Using Dynamic Machine Learning and Path-Finding Algorithms," in International Conference on Information and Communication Technologies, Pakistan, 2005.
  26. 2. 3. A. O. I. Xianglong Xu 1, 3. 4. A. O. I. Zhen Yu 2, Z. G. 4. A. O. Image, 2. 5. A. O. I. Eric P F Chow 1, Y. B. 3. A. O. Image, 2. 3. A. O. I. Jason J Ong 1 and W. L. 6. A. O, "Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study," JMIR Publications, vol. 24, 2022.
  27. I. Y. H., K. H.. (. F. I. L. W. A. L. W. MIN CHEN1(Senior Member, "Disease Prediction by Machine Learning Over Big Data From Healthcare Communities," IEEE Access, p. 11, 2017.
  28. R. K. ·. A. K. ·. V. S. ·. V. G. ·. M. ·. T. T. ·. M. W. ·. N. Mehendale, "Disease prediction from various symptoms using machine learning," SSRN, p. 7, 2020.
  29. D. A. 1. J. d. P. 2. D. D. 1. R. V. 1. A. M. 1. Gustavo Kleber 1, "SOS Syphilis: smartphone application for the mapping of syphilis attention networks.," ScienceDirect, vol. 181, pp. 434-441, 2021.
  30. Raeesi, A., Khajouei, R. & Ahmadian, L. (2022). Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale. BMC Med Inform Decis Mak, 22(1), 281
  31. Wang, H., Zhang, L., Zhou, Y., et al. (2018). The use of geosocial networking smartphone applications and the risk of sexually transmitted infections among men who have sex with men: a systematic review and meta-analysis. BMC Public Health, 18(1), 1178.
  32. Gustavo Kleber, Danilo Alves, Jailton de Paiva, Diego Diógenes, Ricardo Valentim, Aryel Medeiros, SOS Syphilis: smartphone application for mapping syphilis attention networks. Procedia Computer Science, Volume 181, 2021, Pages 434-441.

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