اداة تقييم الخطر لتنبؤ احتمالية الاصابة بسرطان الثدي بالاستناد على عوامل الخطر الديموغرافية واستخدام خوارزمية الشبكة العصبية الضبابية == Risk Assessment Tool - based Demographic Risk Factors to Predict Probability of Breast Cancer accident using Neuro - fuzzy Technique
Author name:
دنيا سمير مزهر
Supervisor name:
كريم راضي حسن
General topic:
Computer Science
Specific topic:
Computer Science
Degree:
Master
University:
University Of Basrah - College Of Science
Language:
Arabic
University location:
Basrah
First pages:
28T759 - p.pdf
Abstract:
In recent years, the statistics presented high incidence rates of breast cancer.So, early detection of breast cancer considered one of the highest healing rates for most cases, where the treatment at early stage is very easy and involves removal to malignant tumor from breast without needed to remove all breast. As well the cost of treatment is very economical with early diagnosis, while at a late stage, the cost associated with treatment is higher. In addition, the prevention have role to reduce risk by avoid catalysts that cause Incidence and associated with risk factors. For these reasons and others, we present the proposed method for designing a risk assessment tool for breast cancer prevention and early detection based on demographic risk factors (DRF) and using Neuro - Fuzzy System (NFS) in designs risk assessment model that help doctors and patients in assess risk of Incidence through providing better and more reliability results.In this thesis, the proposed method is a process of several stages. The first phase included statistical study to identify problem of research based on statistics in Basra, through apply the study on patients community at Al - Sadir Teaching Hospital in Basra (Oncology Center), that represent main center in Basra for the treatment of cancer. Three and most important phase includes the proposed approach for design assessment model using Neuro - Fuzzy system (NFS) in two approaches. the second approach suggested using Fuzzy c - means (FCM) algorithm with Neuro - Fuzzy system to improve the first approach that just use Neuro - Fuzzy system (NF). The proposed method is focused to solving basic research problem to prevention and early detection of breast cancer.The proposed method achieved high results when compared to other methods and tools. The success rate of proposed assessment tool is 94%, and it is higher rate among other assessment tools (Gail, IBIS) that obtained by match the result for assessment of test data (50) with the expert opinion (the real result). Programming and testing of proposed method by used Matlab 2013
