Journal of Health & Medical Informatics

Ebrahimi M

Publications

• Research Article
  Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence
  Author(s): Ahmad LG, Eshlaghy AT, Poorebrahimi A, Ebrahimi M and Razavi ARAhmad LG, Eshlaghy AT, Poorebrahimi A, Ebrahimi M and Razavi AR
  
  Objective: The number and size of medical databases are increasing rapidly but most of these data are not analyzed for finding the valuable and hidden knowledge. Advanced data mining techniques can be used to discover hidden patterns and relationships. Models developed from these techniques are useful for medical practitioners to make right decisions. The present research studied the application of data mining techniques to develop predictive models for breast cancer recurrence in patients who were followed-up for two years. Method: The patients were registered in the Iranian Center for Breast Cancer (ICBC) program from 1997 to 2008. The dataset contained 1189 records, 22 predictor variables, and one outcome variable. We implemented machine learning techniques, i.e., Decision Tree (C4.5), Support Vec.. Read More»
  DOI: 10.4172/2157-7420.1000124

  Abstract PDF