Histogram of number of drugs with (a) increased and (b) decreased usage within 12 months. by Nguyen Thach (20347852)

Histograms of the extent of the (a) increase and (b) decrease by the difference in categorical usage within 12 months for all drugs. by Nguyen Thach (20347852)

Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

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Decrease in loss during the training process. by Muhammad Idrees (92773)

LOSS curves for BWO-BiLSTM model training. by Xiangjuan Liu (618000)

Accuracy and loss of LSTM model training and testing. by Leijie Wang (21485157)

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Data set. by Belachew Tekleyohannes Wogayehu (19470257)

“…A simple random sampling technique was used to select hair dressers. …”

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

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The prediction result is displayed on the hotel dataset, which includes the training procedure when the loss function is decreased and the model saved with training rounds as a multiple of five. by Hongxia Wang (241142)

“…<p>The prediction result is displayed on the hotel dataset, which includes the training procedure when the loss function is decreased and the model saved with training rounds as a multiple of five.…”

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

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A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

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A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

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Impact of red blood cell-platelet ratio trajectories on prognosis and clinical outcomes in the first four days before ICU admission in the training set. by Jie Zhao (49409)

Classification model parameter settings. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

Setting of experimental environment and model parameters. by Guozhu Sui (21672798)

PCA-CGAN model parameter settings. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

Training-induced changes in bipedal stance. by Cristina Dolciotti (16317330)

Performance comparison of the machine learning models in the training cohort (n = 29,309). by Wentao Yang (205781)

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