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Enhanced feature selection algorithm for pneumonia detection

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Research demonstrates improved accuracy in pneumonia detection using chest x-ray images and machine learning.

The proposed model achieved an accuracy of 97.44% for pneumonia detection using chest x-ray images.
Combining support vector machines with feature selection methods led to significant improvements in detection accuracy.
Principle component analysis and genetic algorithms were effectively utilized for enhancing feature selection in the model.
Future research directions include exploring additional data mining models to further enhance detection effectiveness.

Abdullah et al. (2022) studied this question.

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