Edited by C. Brière og A. Weyembergh The Needed Balances in EU Criminal Law. Past, Present and Future by Thomas Elholm

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Predicting complications of major head and neck oncological surgery: an evaluation of the ACS NSQIP surgical risk calculator by Peter S. Vosler, Mario Orsini, Danny J. Enepekides, Kevin M. Higgins

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Aspirin-triggered resolvin D1 modulates pulmonary and neurological inflammation in an IL-22 knock-out organic dust exposure mouse model by Alissa N. Threatt, Jade White, Jade White, Nathan Klepper, Nathan Klepper, Zachary Brier, Zachary Brier, Logan S. Dean, Logan S. Dean, Ash Ibarra, Macallister Harris, Kaylee Jones, Maëlis J. L. Wahl, Melea Barahona, Melea Barahona, Emmanuel O. Oyewole, Morgan Pauly, Julie A. Moreno, Julie A. Moreno, Tara M. Nordgren

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Machine learning-based prognostic model for patients with anaplastic thyroid carcinoma by Yihan Sun, Da Lin, Xiangyang Deng, Yinlong Zhang

“…Results An RSF model and a traditional Cox model were successfully developed in training set. The Brier score for the RSF model was 0.055, which is lower than the Cox model’s score of 0.063, indicating better performance since a lower Brier score signifies superior model accuracy. …”
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Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics by Tal El-Hay, Jenna M. Reps, Chen Yanover

“…Results showed accurate estimations for all metrics: 95th error percentiles for the area under the receiver operating characteristics (discrimination), calibration-in-the-large (calibration), Brier and scaled Brier scores (overall accuracy) of 0.03, 0.08, 0.0002, and 0.07, respectively. …”
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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…Results: Random forest (AUC = 0.98, accuracy = 0.95, Brier score = 0.06, and F1 = 0.94), extreme gradient boost (XGB) (AUC = 0.96, accuracy = 0.91, Brier score = 0.08, F1 = 0.90) and support vector machine (SVM) (AUC = 0.93, accuracy = 0.93, Brier score = 0.07, F1 = 0.92) were the best performing models (base learners). …”
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On the estimation of inverse-probability-of-censoring weights for the evaluation of survival prediction error. by Thomas Prince, Andrea Bommert, Jörg Rahnenführer, Matthias Schmid

“…A key requirement of the IPCW Brier score is the estimation of the censoring distribution, which is needed to compute the weights. …”
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How do palliative care doctors recognise imminently dying patients? A judgement analysis by Nicola White, Priscilla Harries, Adam JL Harris, Victoria Vickerstaff, Philip Lodge, Catherine McGowan, Ollie Minton, Christopher Tomlinson, Adrian Tookman, Fiona Reid, Patrick Stone

“…The mean Brier score of the ‘experts’ was 0.184 (95% CI 0.176 to 0.192). …”
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Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

“…In comparison to other models, the XGBoost model excelled in both training and validation phases, as demonstrated by substantial differences in AUC, DCA, calibration, and Brier score. This model has been made accessible via a web-based platform. …”
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Application of Ultrasound Radiomics in Differentiating Benign from Malignant Breast Nodules in Women with Post-Silicone Breast Augmentation by Ling Hao, Yang Chen, Xuejiao Su, Buyun Ma

“…The model’s accuracy, Brier score, and log loss were 0.796, 0.197, and 0.599, respectively. …”
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Development and Validation of the RCOS Prognostic Index: A Bedside Multivariable Logistic Regression Model to Predict Hypoxaemia or Death in Patients with SARS-CoV-2 Infection by Gerardo Alvarez-Uria, Sumanth Gandra, Venkata R. Gurram, Raghu P. Reddy, Manoranjan Midde, Praveen Kumar, Ketty E Arce

“…In the validation cohort, the area under the receiver operating characteristic curve (AUROCC) was 0.907 (95% CI, 0.892–0.922), and the Brier Score was 0.098. The decision curve analysis showed good clinical utility in hypothetical scenarios where the admission of patients was decided according to the prognostic index. …”
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Forecasting GOES 15 >2 MeV Electron Fluxes From Solar Wind Data and Geomagnetic Indices by C. Forsyth, C. E. J. Watt, M. K. Mooney, I. J. Rae, S. D. Walton, R. B. Horne

“…By comparing our forecasts with measured fluxes from GOES 15 between 2014 and 2016, we determine the optimum forecast thresholds for deterministic and probabilistic forecasts by maximizing the receiver‐operating characteristic (ROC) and Brier skill scores, respectively. The training data set gives peak ROC scores of 0.71 to 0.87 and peak Brier skill scores of −0.03 to 0.32. …”
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Clinical Characteristics and Nomogram for Predicting Mortality in Patients with Postoperative Bloodstream Infection in Surgical Intensive Care Unit by Zengli Xiao, Yao Sun, Huiying Zhao, Youzhong An

“…We collected postoperative patients admitted to our center from February 2022 to June 2023 as external validation sets to verify the nomogram. We also add the Brier score to further validate the model. Results. …”
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External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study by Yuhe Xiang, Guoting Ma, Qin Yang, Min Cao, Wenbin Xu, Lin Li, Qian Yang

“…Model performance was assessed by: (1) Discrimination: Evaluated through the computation of the Area Under Curve (AUC) and its corresponding 95% confidence intervals. (2) Calibration: scrutinized through visual inspection of the calibration plot and utilization of the Brier score. (3) The incremental value of risk prediction and the utility of updating the model were gauged using NRI (Net Reclassification Improvement) and IDI (Integrated Discrimination Improvement). …”
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Clinical Response Predictive Model for Omalizumab in Moderate-to-Severe Asthma Patients by Ruiqi Qian, Lingyi Yang, Xurui Shen, Cheng Chen, Jianan Huang, Xiuqin Zhang, Cuiping Fu

“…The corrected AUC and Brier scores were 0.872 and 0.111, which showed good discrimination. …”
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Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy perfor... by Benjamin Blackman, Prushoth Vivekanantha, Rafay Mughal, Ayoosh Pareek, Anthony Bozzo, Kristian Samuelsson, Darren de SA

“…Model performance was recorded using discrimination, area under the curve (AUC), concordance, calibration, and Brier score. Factors deemed predictive for revision, secondary injury or reoperation were also extracted. …”
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Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment by Yue Li, Yue Li, Shengxiao Nie, Lei Wang, Dongsheng Li, Shengmiao Ma, Ting Li, Hong Sun

“…Model performance was evaluated using the Concordance Index (c-index) and the composite Brier score, and the Intraclass Correlation Coefficient (ICC) from cross-validation folds assessed model stability.ResultsDeep learning models generally outperformed traditional machine learning models in terms of predictive accuracy (mean c-index: 0.949 vs. 0.732; mean integrated Brier score: 0.046 vs. 0.093). …”
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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study by Xiaojuan Xiong, Hong Fu, Bo Xu, Wang Wei, Mi Zhou, Peng Hu, Yunqin Ren, Qingxiang Mao

“…Model performance was assessed with 5-fold cross-validation, bootstrapping, Brier score, and Shapley additive explanation values. …”
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Identifying psychosocial predictors and developing a risk score for preterm birth among Kenyan pregnant women by Anna Larsen, Jillian Pintye, Felix Abuna, Julia C. Dettinger, Laurén Gomez, Mary M. Marwa, Nancy Ngumbau, Ben Odhiambo, Barbra A. Richardson, Salphine Watoyi, Joshua Stern, John Kinuthia, Grace John-Stewart

“…Area under the receiver operating characteristic curve (AUROC) was used to evaluate discrimination of the risk score and Brier score for calibration. Results Among 4084 women, 19% had PTB (incidence rate: 70.9 PTB per 100 fetus-years (f-yrs)). …”
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The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

“…The Random Forest model performed best among all indicators (accuracy 0.93, precision 0.98, Brier Score 0.06, recall 0.72, F1 Score 0.83, AUC 0.99). …”
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