Improved approach based on fuzzy rough set and sine-cosine algorithm: a case study on prediction of osteoporosis

HIGHLIGHTS

  • who: AHMED A. EWEES and colleagues from the of Computer, Damietta University, Damietta, Egypt have published the paper: Improved Approach Based on Fuzzy Rough Set and Sine-Cosine Algorithm: A Case Study on Prediction of Osteoporosis, in the Journal: (JOURNAL)
  • what: The results of the experiments show that this approach achieved competitive results compared to the other methods in selecting the most appropriate descriptors for predicting osteoporosis. The authors applied a new feature selection method to determine the most important features and extract irrelevant data. The authors propose an alternative feature selection method based on . . .

     

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