BIO-MOTIVATED NOVEL PREDICTION MODEL SHUFFLED FROG LEAPING ALGORITHM AND EXTREME LEARNING MACHINES (SFLA ELM) FOR BREAST CANCER PREDICTION AND CLASSIFICATION

Authors

  • P.LAURA JULIET, DR. P.R.TAMILSELVI

DOI:

https://doi.org/10.47750/pnr.2022.13.S10.135

Abstract

Breast Cancer is driving reason for death among women's. As indicated by Cancer Report Breast cancer is appears to be continually expanding all over worldwide in past years and it’s a most ghastly sickness for women's. Clinical data mining manages classifcation of data as well as with the prediction of clinical data. In this stage, a bio-motivated novel prediction model called SFLAELM has been proposed by consolidating the Shuffled Frog Leaping Algorithm (SFLA) and Extreme Learning Machines (ELM), which is first of its sort in the investigation of non picture breast cancer data examination. In this stage, the goal was to foresee the hour of repeat and the outcome got for this case is discovered to be 93:75% exact with a RMSE of 0:30. In both, the cases tanh work performed better.

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Published

2022-12-31 — Updated on 2022-12-31

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Articles

How to Cite

BIO-MOTIVATED NOVEL PREDICTION MODEL SHUFFLED FROG LEAPING ALGORITHM AND EXTREME LEARNING MACHINES (SFLA ELM) FOR BREAST CANCER PREDICTION AND CLASSIFICATION . (2022). Journal of Pharmaceutical Negative Results, 1149-1162. https://doi.org/10.47750/pnr.2022.13.S10.135