Old subjects with sepsis in the emergency department: trend analysis of case fatality rate by Andrea Fabbri (356760)

“…We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score.…”

Validation of a modified obstetric comorbidity index for prediction of postpartum adverse events including fetal morbidity - a retrospective cohort study from Qatar by Fouad Chaalan (22457797)

“…Around 5% of the babies had fetal distress in labour and low UA pH. For every 1 unit increase in OBCMI score, the odds of SMM increased by 44% (OR 1.44 95% CI 1.30–1.59; <i>p</i> < 0.001; AUC 0.66), and CFM increased by 28% (OR 1.28 95% CI 1.15–1.42; <i>p</i> < 0.001; AUC 0.61). …”

Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

“…</p><h3>Results</h3><p dir="ltr">From June 2018 to July 2022, 334,392 non-transport cases were recorded. The random forest model demonstrated the best optimised predictive performance, with accuracy = 74.78%, F1 = 0.74, MCC = 0.35, ROC AUC = 0.81, kappa = 0.34, and R-squared = 0.81. …”

An Evaluation of Short-Term Effects of Different Soil Management Systems on Soil Physical, Structural and Hydraulic Properties and an Estimation and Optimization of Water Infiltrat... by Merheb, Caroline

“…The organic matter content, the aggregate size distribution, the densities (in addition to porosities and residual moisture content), and the saturated hydraulic conductivities were measured in the laboratory using the loss on ignition, sieve analysis, coring, and constant head permeability methods, respectively while the pore structure was analyzed from CT-scan images of undisturbed samples. In both soils, tillage application decreased the densities, the aggregate mean weight diameter, the residual moisture content, and the fine pore volumes while increased the organic matter content, the porosity, the saturated hydraulic conductivity, and the amount of large pores of undisturbed soil. …”
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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. …”