Computer Aided Medical Diagnosis for the Treatment of Sexually Transmitted Disease (Gonorrhea)

Computer Aided Medical Diagnosis for the Treatment of Sexually Transmitted Disease (Gonorrhea)

Volume 2, Issue 2, Page No 30-35, 2017

Author’s Name: Adamu M. Ibrahima),1, Fatima Isiaka2

View Affiliations

1School of Computing, University of Leeds, UK

2Sheffield Hallam University, Department of Computing, UK

a)Author to whom correspondence should be addressed. E-mail:  imailafiya@yahoo.com

Adv. Sci. Technol. Eng. Syst. J. 2(2), 30-35 (2017); a DOI: 10.25046/aj020205

Keywords: Structured systems analysis, Treatment, Sexually transmitted diseases, Expert systems

Share

81 Downloads

Problem Downloading File? Alternate Link

Export Citations

The World Health Organization (WHO) report on the circumstances of clinical facilities in developing countries indicates that, there is considerable efficient delivery of medical services to the rural inhabitants where the services are available, these services are very expensive and not affordable to the average citizen. This has risen inadequacies such as prolonged suffering and even death. The slow process of diagnosis trial and error of diseases can be disastrous when a patient is at the advanced stage of a disease. Here we propose an automated system that can aid the diagnosis of sexually transmitted diseases and suggest adequate drug prescriptions and treatment. To achieve this, an extensive review on related diseases were reevaluated and a common type (gonorrhea) was used as an exemplary study. This is based on the Structure Systems Analysis and Design Methodology (SSADM). The paper as shown a system that is most effective and have a fast way of diagnosing and treating sexually transmitted diseases, which serves as a great relief for the doctors and even non-experts in the field.

Received: 19 January 2017, Accepted: 06 February 2017, Published Online: 25 February 2017

  1. Rella Adams and Pam Duchene. Computerization of patient acuity and nursing care planning: New approach to improved patient care and cost-effective staffing. Journal of Nursing Administration, 15(4):11–17, 1985.
  2. Word Bank. Review of banks activities in the health sector in europe and central asia. 1990.
  3. Joaquin A Blaya, Hamish SF Fraser, and Brian Holt. E-health technologies show promise in developing countries. Health Affairs, 29(2):244–251, 2010.
  4. David Dean, Kyoung-June Min, and Angus Bond. Computer aided design of large-format prefabricated cranial plates. Journal of Craniofacial Surgery, 14(6):819–832, 2003.
  5. Robert Feyen, Yili Liu, Don Chaffin, Glenn Jimmerson, and Brad Joseph. Computer-aided ergonomics: a case study of incorporating ergonomics analyses into workplace design. Applied ergonomics, 31(3):291–300, 2000.
  6. Richard Harvey, S. Y Salih, and Alan E Read. Organic and functional disorders in 2000 gastroenterology outpatients. The Lancet, 321(8325):632–634, 1983.
  7. R Hillyard and Ie Braid. Analysis of dimensions and tolerances in computer-aided mechanical design. Computer Aided Design, 10(3):161–166, 1978.
  8. William L Jorgensen, Juliana Ruiz-Caro, Julian Tirado-Rives, Aravind Basavapathruni, Karen S Anderson, and Andrew D Hamilton. Computer-aided design of non-nucleoside inhibitors of hiv-1 reverse transcriptase. Bioorganic & medicinal chemistry letters, 16(3):663–667, 2006.
  9. George F Luger and William A. Stubblefield. Artificial intelligence and the design of expert systems, benjemmin, 1989.
  10. Michael Moran. Three faces of the health care state. Journal of Health Politics, Policy and Law, 20(3):767–781, 1995.
  11. Cliff Moughtin, Paola Signoretta, and Kate McMahon Moughtin. Urban design: health and the therapeutic environment. Routledge, 2009.
  12. Nelishia Pillay. A generative hyper-heuristic for deriving heuristics for classical artificial intelligence problems. In Advances in Nature and Biologically Inspired Computing, pages 337–346. Springer, 2016.
  13. Jose Reina, Emmanuel Lacroix, Scott D Hobson, Gregorio Fernandez-Ballester, Vladimir Rybin, Markus S Schwab, Luis Serrano, and Cayetano Gonzalez. Computer-aided design of a pdz domain to recognize new target sequences. Nature Structural & Molecular Biology, 9(8):621–627, 2002.
  14. Anne Verroust, Franc¸ois Schonek, and Dieter Roller.Rule-oriented method for parameterized computer-aided design. Computer-Aided Design, 24(10):531–540, 1992.