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Reseach Article

Prediction and Survival Rate Prostate Cancer Patient using Artificial Neural Network

by Sameer Dixit, Shraddha Srivastava, Kamalesh Chandra Maurya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 5
Year of Publication: 2017
Authors: Sameer Dixit, Shraddha Srivastava, Kamalesh Chandra Maurya
10.5120/ijca2017915940

Sameer Dixit, Shraddha Srivastava, Kamalesh Chandra Maurya . Prediction and Survival Rate Prostate Cancer Patient using Artificial Neural Network. International Journal of Computer Applications. 179, 5 ( Dec 2017), 19-21. DOI=10.5120/ijca2017915940

@article{ 10.5120/ijca2017915940,
author = { Sameer Dixit, Shraddha Srivastava, Kamalesh Chandra Maurya },
title = { Prediction and Survival Rate Prostate Cancer Patient using Artificial Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 5 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 19-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number5/28732-2017915940/ },
doi = { 10.5120/ijca2017915940 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:54:31.253590+05:30
%A Sameer Dixit
%A Shraddha Srivastava
%A Kamalesh Chandra Maurya
%T Prediction and Survival Rate Prostate Cancer Patient using Artificial Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 5
%P 19-21
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Prostate cancer is that starts in the prostate gland. The prostate is a small, walnut sized structure that makes up part of a man’s reproductive system. It wraps around the urethra, the tube that carries urine out of the body. Prostate cancer is the most common cause of death from cancer in men over age 75. Prostate cancer is rarely found in men younger than 40.Current method of screening for prostate cancer carried out through blood test & presence of high PSA lead to a high percentage of false positive result which can be reduced by employing intelligent Artificial Neural Networks. The main aim of our research paper and the parallel undertaking of its practical implementation is to develop a mathematical model to improve prostate cancer detection and staging system and finally to present a deploy ready marketable solution based on the model which can be installed across various screening, centers ,hospital and research organization.

References
  1. Theoret MR, Ning YM, Zhang JJ, et al. The risks and benefits of 5a-reductase inhibitors for prostate-cancer prevention. N Engl J Med. 2011 Jun 15.
  2. Antonarakis ES, Eisenberger MA. Expanding treatment options for metastatic prostate cancer. N Engl J Med. 2011 May 26; 364:2055-2058.
  3. Andriole GL, Crawford ED, Grubb RI 3rd, Buys SS, Chia D, Church TR, et al. Mortality results from a randomized prostate-cancer screening trial. N Engl JMed.2009;360:1310-1319.
Index Terms

Computer Science
Information Sciences

Keywords

PSA ANN MLP