PR curves. by Nicola Lazzarini (3528197)

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Overview of the cohort definition process. by Nicola Lazzarini (3528197)

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The primary composite outcome between the propensity matched Bebtelovimab (BEB) monoclonal antibody (MAb) and untreated control groups. by Srilekha Sridhara (15374444)

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S1 Data - by 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. …”

Curve of step response signal of 6 algorithms. by 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. …”

Data_Sheet_2_Decision Tree With Only Two Musculoskeletal Sites to Diagnose Polymyalgia Rheumatica Using [18F]FDG PET-CT.docx by Anthime Flaus (10153055)

Data_Sheet_1_Decision Tree With Only Two Musculoskeletal Sites to Diagnose Polymyalgia Rheumatica Using [18F]FDG PET-CT.docx by Anthime Flaus (10153055)

Data used to drive the Double Layer Carbon Model in the Qinling Mountains. by Huiwen Li (17705280)

“…These compartments help accurately simulate the dynamics of SOC by considering both the fast-cycling and slow-cycling components of organic matter decomposition. The DLCM optimizes initial SOC stocks using extensive spatial simulations, ensuring accurate baseline carbon levels. …”

Data_Sheet_1_Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Pat... by Mingxue Yu (10273496)

Data_Sheet_2_Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Pat... by Mingxue Yu (10273496)

Proposed reinforcement learning architecture. by Enoch Solomon (21416703)

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The images shown correspond the downscaled images an agent receives in Unity environment. by Enoch Solomon (21416703)

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Average success rate (%) of the test experiment on ViZDoom and Unity environments. by Enoch Solomon (21416703)

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Models’ performance without optimization. by Muhammad Usman Tariq (11022141)

“…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”

Iteration curve of the optimization process. by Meijun Shang (22806461)

“…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …”

Data_Sheet_1_Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.pdf by Yuwen Lyu (14330781)

“…In conjunction with the study's data characteristics, three ML classification algorithms, decision tree (DT), k-nearest neighbor (KNN), and support vector machine (SVM), were used to predict patients' medical decision-making tendency, and the performance of the three types of algorithms was compared.…”

The relationship between the prevalence of PE and failure rate of each diagnostic strategy. by Geert-Jan Geersing (331049)

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Forest plot of failure rate and efficiency of the diagnostic strategies across healthcare settings. by Geert-Jan Geersing (331049)

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The relationship between the prevalence of PE and efficiency of each diagnostic strategy. by Geert-Jan Geersing (331049)

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Patient characteristics across different healthcare settings. by Geert-Jan Geersing (331049)

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