Design guides for the development of a system to create interpretations of breast cancer studies

Breast cancer is a disease that, in the last years, has increased considerably worldwide. From a medical point of view, there exists a well-defined classification that radiologists use to interpret mammograms. New computational tools could be created with the purpose of helping the radiologists, to achieve this it is necessary to transform such medical knowledge into computational knowledge. This way, these computational tools could be used to help making decisions and accelerate the interpretations that radiologists perform. This research work presents design guides, which should be considered for the creation of computational systems. These guides are based on the knowledge that has been gathered from a breast cancer project in a hospital at the city of San Luis Potosi.