Deep fit_predic: a novel integrated pyramid dilation EfficientNet-B3 scheme for fitness prediction system

Bhagya Rekha Sangisetti and Suresh Pabboju

Computer Methods in Biomechanics and Biomedical Engineering, 2024, vol. 27, issue 14, 2009-2023

Abstract: This study introduces novel deep learning (DL) techniques for effective fitness prediction using a person’s health data. Initially, pre-processing is performed in which data cleaning, one-hot encoding and data normalization are performed. The pre-processed data are then fed into the feature selection stage, where the useful features are extracted using the enhanced chameleon swarm (ECham-Sw) optimization technique. Then, a clustering process is performed using Minkowski integrated gravity center clustering (Min-GCC) to cluster the health profiles of each individual. Finally, the Pyramid Dilated EfficientNet-B3 (PyDi-EfficientNet-B3) technique is proposed to predict the fitness of each individual efficiently with enhanced accuracy of 99.8%.

Date: 2024
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DOI: 10.1080/10255842.2023.2269287

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