Detecting Breast Cancer through Blood Analysis Data using Classification Algorithms

Oladosu Oladimeji; Olayanju Oladimeji

Volume 9, Issue 3 , July 2021, , Pages 351-359

https://doi.org/10.22044/jadm.2021.9839.2116

Abstract
  Breast cancer is the second major cause of death and accounts for 16% of all cancer deaths worldwide. Most of the methods of detecting breast cancer are very expensive and difficult to interpret such as mammography. There are also limitations such as cumulative radiation exposure, over-diagnosis, false ...  Read More

Propensity based classification: Dehalogenase and non-dehalogenase enzymes

R. Satpathy; V. B. Konkimalla; J. Ratha

Volume 3, Issue 2 , July 2015, , Pages 209-215

https://doi.org/10.5829/idosi.JAIDM.2015.03.02.10

Abstract
  The present work was designed to classify and differentiate between the dehalogenase enzyme to non–dehalogenases (other hydrolases) by taking the amino acid propensity at the core, surface and both the parts. The data sets were made on an individual basis by selecting the 3D structures of protein ...  Read More