Distribution of original measurements (blue line) and imputed measurements (red line) for missing values using multiple imputation with chain equation (MICE). حسب Jia Wei (120974)

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Predicted sensitivity, specificity, PPV, and NPV of the four algorithms (a, b) and algorithms combinations (c, d) under Model-3 in the primary analysis. حسب Jia Wei (120974)

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Proportion of positive results in each algorithm and latent prevalences by year. حسب Jia Wei (120974)

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Chiral Hierarchies at the Nanoscale Revealed by Three-Dimensional Scanning Electron Diffraction حسب Mathias Nero (10744325)

"…By acquiring low-dose SED data at multiple tilt angles and applying a symmetry-based reconstruction algorithm, we resolved the 3D orientation of cellulose fibrils in native oat husk and birch wood. …"

Proportion of positive results in each algorithm and latent prevalences by age (a) and comorbidity (b) groups. حسب Jia Wei (120974)

الموضوعات:

Trace plots of estimated prevalence, sensitivity, and specificity of each algorithm of Model-3 in the primary analysis. حسب Jia Wei (120974)

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Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis. حسب Jia Wei (120974)

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Posterior predicted sensitivity, specificity, PPV, NPV for each algorithm combination under the ‘AND’ rule and ‘OR’ rule in Model-3 in the primary analysis. حسب Jia Wei (120974)

الموضوعات:

Posterior predicted sensitivity, specificity, PPV, NPV for each algorithm combination under the ‘AND’ rule (a) and ‘OR’ rule (b) in Model-3 in the primary analysis. حسب Jia Wei (120974)

الموضوعات:

Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in sensitivity analyses using different oxygen saturation thresholds. حسب Jia Wei (120974)

الموضوعات:

Acceleration of Semiempirical Electronic Structure Theory Calculations on Consumer-Grade GPUs Using Mixed-Precision Density Matrix Purification حسب Pit Steinbach (12795798)

"…Of particular interest in this work is the use of consumer-grade GPUs that thrive on algorithms that maximize the amount of single-precision (FP32) operations carried out. …"

Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in subgroup analysis by age (a) and comorbidity (b) groups. حسب Jia Wei (120974)

الموضوعات:

Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in subgroup analysis by year. حسب Jia Wei (120974)

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Study inclusion and exclusion flowchart. حسب Jia Wei (120974)

الموضوعات:

Posterior predicted sensitivity, specificity, PPV, NPV, covariance, and model comparison among four models with different covariance structures. حسب Jia Wei (120974)

الموضوعات:

Equitable Hospital Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning حسب Emeka Abakasanga (14235503)

"…</p><p dir="ltr"><b>Method:</b> This study analyses hospitalisations of 9,618 patients with LD in Wales using electronic health records (EHR) from the SAIL Databank. …"

Subphenotype model flowchart. حسب Vitaly Lorman (16814000)

"…Our method, an extension of the Phe2Vec algorithm, uses tens of thousands of clinical concepts from multiple domains to represent patients’ clinical histories to then identify groups of patients with similar presentations. …"

Characteristics of Study Sample. حسب Vitaly Lorman (16814000)

"…Our method, an extension of the Phe2Vec algorithm, uses tens of thousands of clinical concepts from multiple domains to represent patients’ clinical histories to then identify groups of patients with similar presentations. …"

Supplementary information files for "Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning" حسب Emeka Abakasanga (14235503)

"…</p><p dir="ltr"><br></p><p dir="ltr"><b>Method:</b> This study analyses hospitalisations of 9,618 patients with LD in Wales using electronic health records (EHR) from the SAIL Databank. …"

Stage 1 Surveys: Survey of Australian Professionals Using Educational Technology حسب Glen Shearer (9834266)