Machine Learning-Based Prediction of Postoperative Deep Vein Thrombosis Following Tibial Fracture Surgery by Humam Baki, İsmail Bülent Özçelik

“…The final selected SVM models achieved high specificity (≥95%) with moderate sensitivity (~75–80%) for DVT detection. …”
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The predictive value of nomogram for adnexal cystic-solid masses based on O-RADS US, clinical and laboratory indicators by Chunchun Jin, Meifang Deng, Yanling Bei, Chan Zhang, Shiya Wang, Shun Yang, Lvhuan Qiu, Xiuyan Liu, Qiuxiang Chen

“…This study aimed to construct a nomogram model based on the O-RADS US and clinical and laboratory indicators to predict the malignancy risk of adnexal cystic-solid masses. …”
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Viscoelastic Point-of-Care Testing (ClotPro^®) to Guide Intravenous Thrombolysis in Acute Ischemic Stroke Patients on DOACs: Replacing History with Hemostasis in a Proof-... by Jessica Seetge, Balázs Cséke, Zsófia Nozomi Karádi, Edit Bosnyák, Eszter Johanna Jozifek, László Szapáry

“…Predictors of outcomes were analyzed using multivariate regression models. Results: ClotPro^® identified 15/40 patients (37.5%) as subtherapeutic, all on factor Xa inhibitors. …”
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Multiparameter Constraints on Empirical Infrasound Period-Yield Relations for Bolides and Implications for Planetary Defense by Elizabeth A. Silber, Josep M. Trigo-Rodríguez, Iyare Oseghae, Eloy Peña-Asensio, Mark Boslough, Rodney Whitaker, Christoph Pilger, Philip Lubin, Vedant Sawal, Claus Hetzer, Randy Longenbaugh, Peter Jenniskens, Brin Bailey, Esther Mas Sanz, Patrick Hupe, Alexander N. Cohen, Thom R. Edwards, Sasha Egan, Reynold E. Silber, Summer C. Czarnowski, Miro Ronac Giannone

“…Through a bootstrap approach, we show that various event subsets can deviate from widely cited period–energy models and we identify which specific conditions most strongly reshape the period–energy scaling. …”
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Urinary biomarkers improve prediction of AKI in pediatric cardiac surgery by Oscar T. Deal, Oscar T. Deal, Thomas Mitchell, Amy G. Harris, Kelly Saunders, Julie Madden, Carrie Cherrington, Karen Sheehan, Mai Baquedano, Rusununguko Kanyongo, Giulia Parolari, Kirsty Phillips, Serban Stoica, Serban Stoica, Massimo Caputo, Massimo Caputo, Francesca Bartoli-Leonard, Francesca Bartoli-Leonard, Francesca Bartoli-Leonard

“…Internal validation of the models was carried out through bootstrapping. Postoperative urine concentrations of interleukin-18 were significantly higher in those with postoperative AKI (p = 0.015), whereas uromodulin concentrations were lower (p = 0.010). …”
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Identifying children who develop severe chronic kidney disease using primary care records. by Lucy Plumb, Manish D Sinha, Timothy Jones, M Theresa Redaniel, Matthew J Ridd, Amanda Owen-Smith, Fergus J Caskey, Yoav Ben-Shlomo

“…Conditional logistic regression modelling was used to identify symptoms predictive of severe CKD and differences in consultation frequency in 24- and 6-month timeframes before the index date.…”
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Insights from DCE-MRI: blood–brain barrier permeability in the context of MS relapses and methylprednisolone treatment by Stig P. Cramer, Nizar Hamrouni, Helle J. Simonsen, Mark B. Vestergaard, Aravinthan Varatharaj, Aravinthan Varatharaj, Ian Galea, Ian Galea, Ulrich Lindberg, Jette Lautrup Frederiksen, Jette Lautrup Frederiksen, Henrik B. W. Larsson, Henrik B. W. Larsson

“…Model performance was assessed using accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), with bootstrapped confidence intervals.ResultsSuperior predictive accuracy was demonstrated with the inclusion of EBL and Ki, alongside MP treatment (AIC = 66.12, p = 0.006), outperforming other models with a classification accuracy of 83% (CI: 73–92%), sensitivity of 78% (CI: 60–94%), and specificity of 86% (CI: 74–97%). …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…Predictors and index tests Twelve potential predictors considered for three diagnostic models. Main outcome measures The primary outcome was diagnostic model sensitivity and specificity for detecting bladder outlet obstruction, detrusor underactivity and detrusor overactivity, with 75.0% considered minimum clinically useful performance. …”
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National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images by Jie Xue, Xianglin Zhang, Songchao Chen, Zhongxing Chen, Rui Lu, Feng Liu, Bas van Wesemael, Zhou Shi

“…Additionally, a list of environmental covariates was prepared based on SCORPAN model. Finally, bootstrapping random forest models were fitted using the covariates selected through forward recursive feature selection (FRFS), and the spatial prediction SOC map was created. …”
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Effect of seedling size on post-planting growth and survival of five Mexican Pinus species and their hybrids by José Alberto Ponce-Figueroa, Pablo Antúnez, José Ciro Hernández-Díaz, José Ángel Prieto-Ruíz, Artemio Carrillo-Parra, Pablito Marcelo López-Serrano, Christian Wehenkel

“…Methods Spearman’s coefficient (rs) and the unbiased conditional pseudo coefficient of determination (R2c) between each specific predictor and each response variable and their 95% confidence interval (CI95%) were determined using Random Forest, generalized linear model, and bootstrapping. By bootstrapping, the potential environmental heterogeneity inside the trial fields and its impact on the results were also quantified. …”
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Is joint hypermobility linked to self-reported non-recovery from COVID-19? Case–control evidence from the British COVID Symptom Study Biobank by Hugo D Critchley, Dorina Cadar, Claire J Steves, Kevin A Davies, Alan J Hakim, Nicholas Gall, Jessica A Eccles, Vicky Bowyer, Lisa Quadt, Nathan Cheetham

“…Additionally, including in a model adjusting for all covariates, hypermobility significantly predicted higher fatigue levels (B=0.95, SE=0.25, t=3.77, SE, p=0.002). …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…For example, the Healthy Outcomes for People with Eating disorders (HOPE) model in Oxford (an early adopter of local-based commissioning) developed a care pathway with a thread of continuity across all services. …”
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Can self-rated health be useful to primary care physicians as a diagnostic indicator of metabolic dysregulations amongst patients with type 2 diabetes? A population-based study by K. Umeh, S. Adaji

“…Data on metabolic syndrome (MetS) was extracted, including lipids (high density lipoprotein cholesterol (HDL-C)), glycated haemoglobin (HbA1c), blood pressure (systolic/diastolic), and anthropometric measures (BMI, waist/hip ratio). Bootstrapped hierarchical regression and structural equation modelling (SEM) were used to analyse the data. …”
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Occurrence of Endoparasites in Creole Goats Under an Extensive Production System on the Southern Coast of Peru by Emmanuel Sessarego, Jhony Soca-Jorge, Jose Teran, María Dávalos-Almeyda, Justo Valdivia-Zevallos, Jose Ruiz, Juancarlos Cruz, Danny Julio Cruz

“…Data were analyzed using logistic regression models and adjusted through bootstrapping and stepwise selection methods, with locality, feeding type, age, and body condition as predictive variables. …”
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Farm-scale mapping of compost and digestate spreadings from Sentinel-2 and Sentinel-1 by Maxence Dodin, Florent Levavasseur, Antoine Savoie, Lucie Martin, Emmanuelle Vaudour

“…According to few recent studies, exogenous organic matters (EOM) can be detectable on either emerging vegetation or bare soil using optical and radar remote sensing techniques. …”
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Chemical analysis of snus products from the United States and northern Europe. by Tameka S Lawler, Stephen B Stanfill, Hang T Tran, Grace E Lee, Patrick X Chen, J Brett Kimbrell, Joseph G Lisko, Carolina Fernandez, Samuel P Caudill, B Rey deCastro, Clifford H Watson

“…Reported means, standard errors, and differences are least-square (LS) estimates from bootstrapped mixed effects models, which accounted for correlation among repeated measurements. …”
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Mediating role of gut microbiota on Baduanjin for cognitive function in community-dwelling older adults with mild cognitive impairment: a study protocol for a cluster randomised co... by Guohua Zheng, Liwei Sun, Qian Geng

“…The intervention effect of Baduanjin exercise and mediating role of gut microbiota will be analysed using linear mixed models and the bootstrapping method in the Hayes process.Ethics and dissemination This study conforms to Declaration of Helsinki principles and relevant ethical guidelines. …”
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