Study cohort selection. حسب Srilekha Sridhara (15374444)

الموضوعات:

Subgroup analysis for the primary composite outcome stratified by patient vaccination status (fully vaccinated vs. not fully vaccinated), age category (age <65 vs. age ≥65), and im... حسب Srilekha Sridhara (15374444)

الموضوعات:

Kaplan Meier curves for the composite outcome in patients who received Bebtelovimab monoclonal antibody treated group vs. not-treated control group between April 5, 2022, and Augus... حسب Srilekha Sridhara (15374444)

الموضوعات:

Multivariable Cox proportional hazard model^b'*' for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System be... حسب Srilekha Sridhara (15374444)

الموضوعات:

Patient characteristics and covariate balance before and after propensity matching. حسب Srilekha Sridhara (15374444)

الموضوعات:

Load data or power demand. حسب M. Nasrallah (19066121)

Confusion matrix for multiclass classification. حسب Ebru Ergün (21395498)

"…Features were extracted using the Hilbert Transform, while classification was performed via the k-nearest neighbor algorithm. …"

General flow chart of the proposed method. حسب Ebru Ergün (21395498)

"…Features were extracted using the Hilbert Transform, while classification was performed via the k-nearest neighbor algorithm. …"

Data_Sheet_1_Determination of phage load and administration time in simulated occurrences of antibacterial treatments.docx حسب Steffen Plunder (14022498)

Table_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf حسب Jenish Maharjan (11998331)

"…Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"

Image_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf حسب Jenish Maharjan (11998331)

"…Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

Wilcoxon’s rank sum test results. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Flowchart of MSHHOTSA. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Tension/compression spring design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Speed reducer design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Flowchart of TSA [43]. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Pressure vessel design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Gear train design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

The proportion integral derivative controller. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"