scholarly journals Enhancing breast cancer detection using data mining classification techniques

Pressacademia ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. 310-316 ◽  
Author(s):  
Florije Ismaili ◽  
Luzana Shabani ◽  
Bujar Raufi ◽  
Jaumin Ajdari ◽  
Xhemal Zenuni
Keyword(s):  
Breast Cancer ◽  
Data Mining ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Classification Techniques ◽  
Using Data

Predicting the benefit of screening for disease

1981 ◽  
Vol 18 (02) ◽  
pp. 348-360 ◽  
Author(s):  
Neil Dubin
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Empirical Data ◽  
Screening Program ◽  
Breast Cancer Detection ◽  
Two Stage ◽  
Distributed Diagnosis ◽  
Disease States ◽  
Stage Disease ◽  
Using Data

To evaluate the benefits and risks associated with screening for disease, a model is developed to characterize the changes in incidence and survival distributions effected by a screening program. Screening is presumed to increase survival by resulting in diagnosis of disease at earlier stages. All disease states in the model are observable, thus facilitating application to empirical data. An example of such an application using data from a breast cancer detection project is given for the case of one screening for two-stage disease having Weibull-distributed diagnosis times.

Predicting the benefit of screening for disease

1981 ◽  
Vol 18 (2) ◽  
pp. 348-360 ◽  
Author(s):  
Neil Dubin
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Empirical Data ◽  
Screening Program ◽  
Breast Cancer Detection ◽  
Two Stage ◽  
Distributed Diagnosis ◽  
Disease States ◽  
Stage Disease ◽  
Using Data

To evaluate the benefits and risks associated with screening for disease, a model is developed to characterize the changes in incidence and survival distributions effected by a screening program. Screening is presumed to increase survival by resulting in diagnosis of disease at earlier stages. All disease states in the model are observable, thus facilitating application to empirical data. An example of such an application using data from a breast cancer detection project is given for the case of one screening for two-stage disease having Weibull-distributed diagnosis times.

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