Overview of the Cell2Spatial algorithm. حسب Huamei Li (8815955)

"…SC and spatial transcriptomics (ST) data were standardized using <i>SCTransform</i> in Seurat, with cell-type-specific genes identified through a modified entropy-based method (Step 1). …"

Performance evaluation of ML regression models using <i>R</i>². حسب Marwah Salman (22593380)

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CONSORT diagram of the COVID-RED trial. حسب Laura C. Zwiers (21492805)

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Baseline characteristics of the 60% compliance EA and PC analysis sets. حسب Laura C. Zwiers (21492805)

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Time-to-indication and corresponding p-values. حسب Laura C. Zwiers (21492805)

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Cross-tabulation of infection versus indication status for both analysis sets and study conditions. حسب Laura C. Zwiers (21492805)

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Results of the per-day analysis for both definitions. حسب Laura C. Zwiers (21492805)

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Results of the time-to-infection analyses. حسب Laura C. Zwiers (21492805)

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Illustration of the in-app messages given in case of unlikely indication for infection (left) and in case of a “red alert” (right). حسب Laura C. Zwiers (21492805)

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TreeMap 2016 Stand Size Code Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"

TreeMap 2016 Forest Type Name Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"

eICU test results. حسب Wei Liao (166135)

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MIMIV-IV test results. حسب Wei Liao (166135)

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Access time test results. حسب Yonggang Huang (223155)

"…Additionally, the empirical mode decomposition method is applied to eliminate noise from these attributes. Using the key configuration of fuzzy encryption algorithm, high-dimensional medical data attributes with different security levels within the same field undergo encryption and decryption processes. …"

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. According to the results obtained from the testing set, the sensitivity was higher than 92.02%, the specificity was higher than 95.18%, the accuracy was higher than 94.34%, and the AUC was higher than 0.972.…"

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. According to the results obtained from the testing set, the sensitivity was higher than 92.02%, the specificity was higher than 95.18%, the accuracy was higher than 94.34%, and the AUC was higher than 0.972.…"

Comparison of Proposed Model, RF, SVM, DNN, and RNN models using Area Under Curve on imbalanced datasets. حسب Saim Chishti (22272188)

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Comparison of Proposed Model, RF, SVM, DNN, and RNN models using Precision for Class 1 on imbalanced datasets. حسب Saim Chishti (22272188)

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Comparison of Proposed Model, RF, SVM, DNN, and RNN models using Precision for Class 0 on imbalanced datasets. حسب Saim Chishti (22272188)

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Comparison of Proposed Model, RF, SVM, DNN, and RNN models using Recall for Class 0 on imbalanced datasets. حسب Saim Chishti (22272188)

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