Use the k nearest neighbor(KNN) to compare the classification of real age and age through the bone for thalassic patients

Abstract

Thalassemia is considered a chronic disease, especially children from the first years of life, and the patient goes through stages over long periods, Data were collected for patients by real age and age through the bone, Therefore, a comparison will be made between the two cases. There are many statistical methods used to arrive at a classification of data, the method of nearest neighbor has been relied upon as a method of classification between societies. The method of classifying each observation depends on the three closest values ​​on the basis of which the observation is placed into the correct group, the naturalness of the data was rather close, so it asked us to use a method that helps us to reach a better classification. The k the nearest neighbor is the best way to reach an optimal classification for such data. Classification by real age was better than classification by bone age using classification. Classification by actual age was better than classification by bone age using k nearest neighbor classification