دراسة إحصائية لمدى تشابه محافظات العراق من حيث الإصابة بالإمراض السرطانية باستخدام طريقة المتوسطات (K-means)
Abstract
Cancer is a medical term includes a wide variety of diseases that labeled with up normal growth of cells which divide themselves without observation and have the ability to penetrate the tissues and destroy the intact ones. They are able to deploy themselves in all the body parts.
Cancer is one of the major causes of death in Iraq. It represents the second cause of death with the rate of 9.6% following some of blood vascular and heart diseases that are the first cause. It has been found that there is a great interest within the western communities in studying cancer tumors diseases as the mother of diseases while we find that there is a little interest within the Arabic communities in studying this disease.
In light of this, we will study some widespread kinds of cancer diseases in every Iraqi governorate through an analytic study by using cluster analysis(K- means ) throgh gathering the numbers of cancer diseases infections and studying their widespread by type and the area of concentration in every governorate in order to find the similarity among Iraqi governorates from the aspect of infection with these types of cancers.
One of the main conclusions that have been reached is that the average preparation with breast cancer x1 areas each of the provinces in the first set higher than the average second group areas, depending on the value of the standard deviation, which shows that all the Iraqi provinces, including the northern provinces are similar in terms of injury breast cancer. Results Althalilan averages also showed stomach cancer x9 in the provinces of Basra, Muthanna, Anbar, the averages of rectal cancer and Alqalon in the provinces x6 of Baghdad, Maysan, Sulaymaniyah, and the averages of bronchial cancer and lung x3 them the largest significant differences indicating this similarity the provinces in terms of gastric and rectal cancer and Alqalon and bronchus and lung, respectively, based on the analysis of variance with a one-way tables .
