ISSN: 0973-7510

E-ISSN: 2581-690X

V. Rajalakshmi1 , G.S. Anandha Mala2, Mandava Chatana2 and D. Saranya1
1Faculty of Computing, Sathyabama University, Chennai – 600119 India.
2Department of CSE, Easwari Engineering College, Chennai – 600089 India.
J. Pure Appl. Microbiol., 2016, 10 (1): 553-558
© The Author(s). 2016
Received: 03/01/2016 | Accepted: 08/02/2016 | Published: 31/03/2016
Abstract

Leukemia is one of the sub types of blood cancer, where if untreated it leads to death in weeks or months .In order to detect Leukemia in a person, we need to find out the symptoms, number of cells and certain chemicals present in the blood. When the values of these cells and chemicals are abnormal than the healthy range of values, the person is said to have Leukemia. There are many health service websites like webMD, doctorspring, icliniccare offering  health seekers to interact anonymously with doctors at anytime from anywhere in the world and get solutions. These websites acts like a blog where health seeker can post their questions and different doctors give solutions as comments below. Since many doctors reply to single person, it conflicts the solution, where the health seeker will not know which solution to consider and misleads the health seeker to take wrong steps. So, we have created an application by generating a mathematical formula, by using the healthy range of values of cells and chemicals present in the body to diagnosis Leukemia using MATLAB. When the patient’s cells and chemical values are abnormal when compared to this healthy range of values, the application detects Leukemia in the patient. The main advantage of our application is, it accurately detects the presence of Leukemia in a person.

Keywords

Leukemia, Blood cancer, K-means clustering, Neural network, Rule based classification.

Article Metrics

Article View: 688

Share This Article

Journal Tools

© The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.