Development of a Computerised Prostate Cancer Detection System using Artificial Neural Network
Ogunleye G.O.1, Daramola C.Y.2, Folorunsho O.3
1Ogunleye G.O., Computer Science Department, Federal University, Oye-Ekiti, Ekiti State, Nigeria.
2Daramola C.Y., Computer Science Department, Federal University, Oye-Ekiti, Ekiti State, Nigeria.
3Folorunsho O., Computer Science Department, Federal University, Oye-Ekiti, Ekiti State, Nigeria.
Manuscript received on 2 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2747-2752 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4486098319/2019©BEIESP | DOI: 10.35940/ijrte.C4486.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Prostate cancer has been known as one of the most deadly diseases in the world that flourished in men. History has discovered that the epidemic is a slow growing disease that occurs in the life of men without the carriers’ knowledge that the disease is already in the gland. Prostate cancer is a disease that grows in the prostate which is a gland in the reproductive system. The purpose of this research paper is to use an artificial neural network to predict the occurrence of prostate cancer in men. We were privileged to have access to data of certain known cases of prostate cancer and non prostate cancers collected from government hospitals. In the proposed system, users can enter their parameters and it would be compared with the already stored parameters in the database for early possible detection of prostate. The proposed system can then predict whether there is possibility of prostate cancer from the parameters entered.
Keywords: Prostate Cancer, Human, Men, ANN
Scope of the Article: Recent Trends & Developments in Computer Networks