Transformer fault diagnosis method based on SMOTE and NGO-GBDT
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DOI: 10.1038/s41598-024-57509-w
Abstract: In order to improve the accuracy of transformer fault diagnosis and improve the influence of unbalanced samples on the low accuracy of model identification caused by insufficient model training, this paper proposes a transformer fault… read more here.
Keywords: method; gbdt; transformer fault; fault diagnosis ... See more keywords
Prediction of cardiovascular diseases based on GBDT+LR
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DOI: 10.1038/s41598-025-04921-5
Abstract: Currently, there are over 300 million patients with cardiovascular diseases in China. With the acceleration of population aging, the impact of cardiovascular diseases is becoming increasingly severe. Accurately and efficiently predicting the potential risks of… read more here.
Keywords: disease; gbdt; cardiovascular disease; prediction ... See more keywords
Predicting phenotypes from high-dimensional genomes using gradient boosting decision trees
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DOI: 10.1109/access.2022.3171341
Abstract: Genomic selection is an emerging technique for predicting unknown phenotypes using genome-wide marker coverage, allowing the use of efficient computational models to select individuals with high phenotypic values as candidate breeding populations. However, Genome Selection… read more here.
Keywords: gbdt; prediction; model; prediction accuracy ... See more keywords