An Online Doctor's and Patient help Desk Assistant for Early Diagnoses of Prostate Cancer in the Rural Areas of Bayelsa State

Authors

  • Wisdom Omote  Department of Computer Science, Niger Delta University, Wilberforce Island, PMB581, Bayelsa State, Nigeria
  • Biralatei Fawei  Department of Computer Science, Niger Delta University, Wilberforce Island, PMB581, Bayelsa State, Nigeria
  • Nicholas Dienagha  

DOI:

https://doi.org/10.32628/CSEIT2283108

Keywords:

Prostate Cancer, Expert System, JESS, Disease

Abstract

The shortage and unavailability of medical practitioners particularly medical doctors in the world has created deficiency in the health sector, which is even more prevalent in the developing countries. This has made rural dwellers in developing countries to experience chronic diseases like prostate cancer, lung cancer, breast cancer and so on which leads to mortality and disabilities. Prostate cancer is a male disease that occurs in the malignant tumors of the prostate epithelium. In this paper, we present an online doctor’s and patient help desk assistant for the diagnoses of prostate cancer at its early stage in the rural areas where there are no health professionals. The system offers medical assistance to patients by providing diagnostic information of their status based on a set of questions answered with respect to prostate cancer. The system is developed with Java Expert System Shell (JESS) alongside other web programming tools. The result from the system evaluation with 50 participants show greater than 95 percent accuracy on expert confirmation.

References

  1. S. S. Abu Naser, and M. I. Alhabbash (2016). Male Infertility Expert System Diagnoses and Treatment, The American Journal of Innovative Research and Applied Sciences, 2(4), 181-192.
  2. R. Ahmad (2016). Expert Systems: Principles and Programming. Scalable Computing: Practice and Experience, 7(4).
  3. M.M. Cabrera and E.O. Edye (2010). Integration of Rule Based Expert System and Case Based Reasoning in an Acute Bacterial Meningitis Clinical Decision Support System, International Journal of Computer Science and Information Security, 7(2), pp.1947-5500.
  4. A. Cheung, W. Ip, and D. Lu, (2015). Expert System industry. Journal of Quality in Maintenance Engineering, 11(4): 348-358. 
  5. M. E. Ellis (2018) A medical Review on Prostrate Cancer. Retrieved on April, 16, 2022. https://www.healthline.com/health/prostate-cancer-risk-factors
  6. J. Cuzick, M. A. Thorat, G. Andriole, O. W. Brawley, P. H. Brown, and  Z. Culig (2019). Prevention and early detection of prostate cancer. Lancet Oncol.15(11):484-492
  7. M. Daniel, and O. K. Udo (2017). Expert System for Medical Diagnosis of Hyperyension and Anaemia, MAYFEB Journal of Environmental Science, 3, 12-19.
  8. N. B. Delongchamps, A. Singh, and G. P. Haas (2017). Epidemiology of prostate cancer in Africa: another step in the understanding of the disease? Curr Probl Cancer. 31(3):226–236.
  9. R. Kirby, and M. Patel (2008) Fast Facts: Prostate Cancer. Health Press, Oxford.
  10. M. M. Mottalib, M. M. Rahman, M. T. Habib, and F. Ahmed (2016) Detection of the Onset of Diabetes Mellitus by Bayesian Classifier Based Medical Expert System, Transactions on Machine Learning and Artificial Intelligence, 4(4), 1-8.
  11. R. Nohria (2015) Medical Expert Ssyetm- A Comprehensive Review, International Journal of Computer Applications, 130(7), 44-50.
  12. R. W. Ojewola, E. A. Jeje, K. H. Tijani, and M. A. Ogunjimi (2013) Clinico-pathological Correlation of Digital Rectal Examination Findings Amongst Nigerian Men with Prostatic Diseases.19:26-31.
  13. C. H. Yang, and L. Y. Chuang (2016) An Application of Expert System for Diagnosing Fever Caused by Viral Infection, Journal of Life Sciences and Technologies, 4(1), 17-21.
  14. E. Roventa, and G. Rosu (2006). PROLOG Expert System: The Diagnosis of Kidney Diseases, International Symposium on Research and Education in an Innovation Era, Section III, November 16-18, Aurel Vlaicu, University of Arad. Romania.
  15. V. Vostrovský (2016). Expert Systems utilization in knowledge management. Agricultural Economics–czech, 52(10): 451 -455
  16. H. Templeton (2007) Prostate cancer – presentation, diagnosis and treatment: what does the literature say? International Journal of Urological Nursing. 1, 1, 6-17.
  17. L. M. Su (2015). Early Diagnosis and Treatment of Cancer Series: Prostate Cancer E-Book. Elsevier Health Sciences.
  18. W. Janssens, J. Goedecke, G. J. De Bree, S. A. Aderibigbe, T. M. Akande, and A. Mesnard (2016). The financial burden of non-communicable chronic diseases in rural Nigeria: wealth and gender heterogeneity in health care utilization and health expenditures. PLoS One, 11(11), e0166121.
  19. O. C. A. Okoye, E. Oviasu, and L. Ojogwu (2011). Prevalence of chronic kidney disease and its risk factors amongst adults in a rural population in Edo State, Nigeria. Journal of US-China medical science, 8(8), 471-481.
  20. P. Vineis, and C. P. Wild (2014). Global cancer patterns: causes and prevention. The Lancet, 383(9916), 549-557.
  21. F. T. Odedina, T. O. Akinremi, F. Chinegwundoh, R. Roberts, D. Yu, R. R. Reams, and N. Kumar (2009). Prostate cancer disparities in Black men of African descent: a comparative literature review of prostate cancer burden among Black men in the United States, Caribbean, United Kingdom, and West Africa. Infectious agents and cancer, 4(1), 1-8.
  22. O. W. Brawley (2012). Prostate cancer epidemiology in the United States. World journal of urology, 30(2), 195-200.
  23. R. B. Mishra, and S. Kumar (2011). Semantic web reasoners and languages. Artificial Intelligence Review, 35(4), 339-368.
  24. B. Fawei, A. Wyner, J. Z. Pan, and M. Kollingbaum (2015). Using legal ontologies with rules for legal textual entailment. In AI Approaches to the Complexity of Legal Systems (pp. 317-324). Springer, Cham.
  25. L. Naji, H. Randhawa, Z. Sohani, B. Dennis, D. Lautenbach, O. Kavanagh, and J. Profetto (2018). Digital rectal examination for prostate cancer screening in primary care: a systematic review and meta-analysis. The Annals of Family Medicine, 16(2), 149-154.
  26. S. A. J. Obansa, and A. Orimisan (2013). Health care financing in Nigeria: prospects and challenges. Mediterranean Journal of social sciences, 4(1), 221-221.
  27. B. Fawei, J. Z. Pan, M. Kollingbaum, and A. Z. Wyner (2018). A methodology for a criminal law and procedure ontology for legal question answering. In Joint International Semantic Technology Conference (pp. 198-214). Springer, Cham.
  28. P. H. Gann (2002). Risk factors for prostate cancer. Reviews in urology, 4(Suppl 5), S3.
  29. S. K. Bechis, P. R. Carroll, and M. R. Cooperberg (2011). Impact of age at diagnosis on prostate cancer treatment and survival. Journal of Clinical Oncology, 29(2), 235.
  30. G. Carioli, P. Bertuccio, P. Boffetta, F. Levi, C. La Vecchia, E. Negri, and M. Malvezzi (2020). European cancer mortality predictions for the year 2020 with a focus on prostate cancer. Annals of Oncology, 31(5), 650-658.
  31. O. S. Folake, A. H. Cole, and W. H. Oldewage-Theron (2008). Undernutrition and household environmental quality among urban and rural children in Nigeria. Pakistan Journal of Nutrition, 7(1), 44-49.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2022-06-30

Issue

Volume 8, Issue 5, September-October-2022

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Wisdom Omote, Biralatei Fawei, Nicholas Dienagha, " An Online Doctor's and Patient help Desk Assistant for Early Diagnoses of Prostate Cancer in the Rural Areas of Bayelsa State" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.122-129, September-October-2022. Available at doi : https://doi.org/10.32628/CSEIT2283108