Analysis of Muscle - Vein Thickening by Valine Amino Acid using Correlative Feature Extraction and Decision Tree Methods

Health of an individual is the most crucial aspect during a person’s living years. Various factors can initiate maladies that may prove to be fatal. However, amino acids although are defined to be essential consumables to a certain extent in the dietary habits of humans, their consumption beyond a limit can cause diverse ailments. The proposed study comprises of comprehending the Muscle-Vein (MV) thickness in a human body triggered by a specific amino acid called Valine. Previous work relevant to this domain of interest have been pivoted more toward muscle thickness through various other attributes such as age and genetic factors. Thus, the lack in identifying the rise in valine count correlated with the corporeal feature such as the total cholesterol in the proposed indagation through Spearman and Pearson correlation methods have augmented the feature priority identification, and subsequently the decision tree analysis. The simulations are carried out in orange datamining tool, and the results are successfully obtained.