Therefore, this paper proposes a novel ensemble deep learning disease prediction method that combines unsupervised and supervised learning paradigms. First, ...
The results show that compared with the existing algorithms, our framework achieves better performance on disease prediction. Index Terms—Human microbiome, ...
Apr 3, 2023 · Abstract—A growing number of studies show that the human microbiome plays a vital role in human health and can be a crucial factor.
A novel ensemble deep learning disease prediction method that combines unsupervised and supervised learning paradigms, which achieves better performance on ...
Aug 24, 2023 · EnsDeepDP An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics https://okokprojects.com/ IEEE PROJECTS 2023-2024 ...
The proposed system, EnsDeepDP, integrates various deep learning and machine learning algorithms to enhance disease prediction using human metagenomics data. It ...
This work proposes DeepMicro, a deep representation learning framework allowing for an effective representation of microbiome profiles that outperforms the ...
Aug 3, 2023 · This article reviews deep learning approaches in metagenomics, including convolutional networks (CNNs), autoencoders, and attention-based models ...
EnsDeepDP: An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics · Author Picture Yang Shen,; Author Picture Jinlin Zhu,; + 3. Pages ...
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Aug 12, 2024 · We presented how machine learning can be used in metagenomics to address current challenges and explore future possibilities in the field.