In this paper, a novel fitness function in Genetic Programming, for medical data classification has been proposed that handles the problem of unbalanced data.
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Dec 1, 2020 · Classification is done using the proposed technique. The proposed technique achieved the best accuracy for CKD, WDBC, Fertility, and BUPA ...
This paper proposed a hybrid intelligent approach using a Binary Grey Wolf Optimization Algorithm and a Self-Organizing Fuzzy Logic Classifier (BGWO-SOF) ...
Kalantari, Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions, Neurocomputing ...
A novel fitness function in Genetic Programming, for medical data classification has been proposed that handles the problem of unbalanced data and achieves ...
Classification is done using the proposed technique.The proposed technique achieved the best accuracy for CKD, WDBC, Fertility, and BUPA dataset as 100%,99.12%, ...
A novel fitness function in genetic programming to handle unbalanced emotion recognition data. •. A genre-wise classification of emotions is performed ...
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Bibliographic details on A novel fitness function in genetic programming for medical data classification.
Article "A novel fitness function in genetic programming for medical data classification" Detailed information of the J-GLOBAL is an information service ...
Feb 12, 2021 · A Novel Fitness Function in Genetic Programming for Medical Data Classification, Biomedical Informarmatics, Elsevier, 2020.