000			02583cam a2200337 a 4500
003			EG-GiCUC
005			20250223031445.0
008			160322s2015 ua f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.03.M.Sc.2015.Ba.A
100	0		_aBasma Emad Abdelfatah Mohamed
245	1	0	_aAnalysis of risk factors for breast cancer decision support system / _cBasma Emad Abdelfatah Mohamed ; Supervised Manal Abdelwahed , Mohamed I. Owis
246	1	5	_aتحليل عوامل الخطر لسرطان الثدى لإنشاء نظام دعم القرار
260			_aCairo : _bBasma Emad Abdelfatah Mohamed , _c2015
300			_a62 P. ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520			_aData mining effective applications supply good health care knowledge that could be utilized in supporting of clinical decision making. Breast cancer is the most common form of cancer among women and is the second leading reason of cancer death. A risk factor is anything that influences the possibility of obtaining a disease as cancer. The goal of this study is creating an economic method for the early detection of breast cancer with no pain to patient, by analysis of risk factors. Two approaches were followed where in the first approach direct detection has been done between the three cases, benign, malignant and normal by applying decision tree and random forest. In the second approach, indirect detection has been done; it comprises two phases. In the first phase, the detection would be between two categories of normal and tumor cases, applying decision tree and random forest. The second phase was the detection between benign and malignant cases; decision Tree, random forest, K-means clustering and apriori were applied. It is to be noted that in classification and clustering techniques, risk factors were ranked by two different feature selection methods: Fisher linear discriminant and minimal redundancy maximal relevance criterion. In classification techniques 10 folds cross validation method was utilized to decrease the bias of results
530			_aIssued also as CD
653		4	_aBreast cancer
653		4	_aData mining
653		4	_aEarly detection
700	0		_aManal Abdelwahed , _eSupervisor
700	0		_aMohamed I. Owis , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c55662 _d55662