Genetic algorithms (GA s) and neural networks (NN s) are both inspired by computation in
biological systems and many attempts have been made to combine the two methodologies …

This paper aims to assess the effectiveness of three different clustering algorithms, used to
detect breast cancer recurrent events. The performance of a classical k-means algorithm is …

Breast Cancer is a common disease among females. Early detection of the Breast Cancer
aids in an easier efficient treatment. The application of Machine Learning algorithms can …

The use of computer technology to support medical decisions is now widespread and
pervasive across a broad range of medical areas. Accordingly, computer‐aided diagnosis …

The fully connected feed-forward neural networks are commonly used in almost all neural
networks applications, since such architecture provides the best generalisation power …

Breast cancer research over the last decade has been tremendous. The ground breaking
innovations and novel methods help in the early detection, in setting the stages of the …

Breast cancer is the second leading cause of cancer deaths in women today. Sometimes,
breast cancer can return after primary treatment. A medical diagnosis of recurrent cancer is …

The use of computer technology supporting medical decision is now widespread and
pervasive across a broad range of medical areas. Accordingly, computer-aided diagnosis …

Taking into consideration the world's economic situation, an important issue nowadays is
predicting whether a client is suitable for a credit loan or card. Credit approval can be …

In this chapter authors did one technological survey for breast cancer and found very large
scale of people working on this field. So many techniques are used in that field and they …