التنبؤ بدرجة شدة مرض سرطان الثدي باستخدام تنقيب البيانات في قطاع غزة pdf
Data mining has become a fundamental methodology for computing applications in the domain area of medicine. Data mining is defined as the procedure that finds the valuable data from raw information sets by investigating and compressing them by considering alternate points of view._x000D__x000D_
Medical data mining is a set of methods that extract valuable and novel information from human services database to help doctors to get best diagnosis. In this area cancer, disease growth and diabetes are the top mortal disease in Gaza strip the last years. Therefore, data mining can be the most part utilized as these include extravagant and drawn out tests._x000D__x000D_
Extending research papers related to the discovery of breast cancer, we proposed a model to help in resolving the difficulty of determining the degree of risk for the disease and to get best practices, abatement time and expense with the objective of advancing well-being, based on data collected from hospitals in the Gaza Strip._x000D__x000D_
The model is applying the classification technique such as Support vector machine, artificial neural network and k-nearest neighbors on the collected breast cancer data. Which in turn predicts the severity of breast cancer. We also, applied association rules to see what the top attributes related to high severity breast cancer are._x000D__x000D_
After evaluation and testing using Support vector machine, k-nearest neighbors and artificial neural network classifier on the breast cancer dataset, we obtain an accuracy of 77%, which is accepted rate of prediction for severity of breast cancer. In addition, we list the most related attributes to high severity of breast cancer.
توثيق المرجعي (APA)
Tafish, Mohammed H. H.
El-Halees, Alaa M.
Institute of Electrical and Electronics Engineers (IEEE)
المستودع الرقمي للجامعة الإسلامية بغزة