Temporal trends of presumed cardiac origin out-of-hospital cardiac arrest incidence in Guangzhou, southern China: A 10-year consecutive analysis by Tianqi Yang, Cai Wen, Yan Zhang, Yanjun Xu, Junpeng Liu, Zhenzhou Li, Shuangming Li, Na Peng, Hao Wu, Li Li, Tao Yu

“…The Joinpoint software was used to calculate the Annual Percent Change (APC) and Average Annual Percent Change (AAPC) in the incidence of OHCA over the study period. …”
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Individualized drug therapy and survival prediction in ICU patients with acute kidney injury: construction and validation of a nomogram by Rui Yang, Xiaozhe Su, Ziqi Liu, Shuai Shao, Yinhuai Wang, Hao Su, Haiqing He

“…Methods Critically ill AKI patients were sourced from the MIMIC-IV database. To ascertain significant, drug-related, independent predictors of survival, univariate Cox analysis and stepwise Cox regression were performed. …”
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Supervivencia de la oferta hotelera en un destino maduro de litoral: el caso de Torremolinos by Rafael Cortés-Macías, Fernando Almeida García, Radmila Jovanovic, Miquel Angel Coll Ramis

“…Para este estudio se han identificado todos los hoteles abiertos en el siglo XX y XXI en Torremolinos, y se han localizado espacialmente mediante el programa ArcGIS Desktop. A través del SPSS v.25 se ha calculado la supervivencia de los hoteles, para ello se ha aplicado el estimador de Kaplan-Meier y la prueba de Log Rank. …”
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Advanced deep learning techniques for recognition of dental implants by Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli, Rohit sukhasare

“…The Precision-Recall Curve, with an AUC of 0.96, showed that the model performed well across various thresholds. …”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The DFD model achieves superior performance on eight public NASA and PROMISE datasets (six of which are imbalanced) across five performance indicators, including area under the curve (AUC), geometric mean (G-Mean), F1 score, Matthews correlation coefficient (MCC), and Balance. …”
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Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study by Zeyin Hu, Mengna Luo, Ruoying He, Zhenming Wu, Yuying Fan, Jia Li

“…Patients were investigated for PICC-RVT by Doppler sonography in the presence of PICC-RVT signs and symptoms. …”
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Risk factors analysis and prediction model establishment of acute kidney injury after heart valve replacement in patients with normal renal function by Xiaofan Huang, Xiaofan Huang, Xiangyu Sun, Jiangang Song, Yongqiang Wang, Jindong Liu, Jindong Liu, Yu Zhang, Yu Zhang

“…The area under the curve (AUC) of the ROC for predicting the risk of postoperative AKI was 0.803 (95% CI 0.769–0.836), with sensitivity and specificity of 84.9% and 63.4%, respectively. …”
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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

“…The predictive power of each feature was assessed using a composite measure derived from individual algorithm estimates.ResultsThe model demonstrated a mean AUC-ROC of 0.75-0.76, with mean sensitivity of 0.77-0.81, precision (also referred to as Positive Predictive Value) of 0.77-0.79 and specificity of 0.63-0.66 across the criteria. …”
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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

“…<xref ref-type="disp-formula" rid="deqn3-deqn5">(3)</xref> The high Rank-1 accuracies and area under curve (AUC) values of the Receiver Operating Characteristic (ROC) curves on the three domains indicate that the proposed face recognition method can adapt to the complex working conditions in underground engineering environments.…”
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Malignant phyllodes tumors with sarcomatous components: A histopathologic and molecular study by Ting Lei, Yunjie Song, Zhiyi Shen, Yongqiang Shi, Cunyan Xia, Xu Deng, Wenyue Da, Yan Peng, Qing Li

“…A notably high frequency of mutations was observed in several key genes within MPTs exhibiting sarcomatous components: TP53 (n = 6, 75.0 %), MUC16 (n = 4, 50.0 %), PTCH1 (n = 3, 37.5 %), and APC (n = 3, 37.5 %). …”
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Risk Factors For Progression From Biochemical Leak to Clinically Relevant Postoperative Pancreatic Fistula After Pancreaticoduodenectomy. The Key of the Lock: Prognostic Nutritiona... by Mehmet Can Aydin, Oguzhan Ozsay, Kagan Karabulut, Recep Bircan, Fatih Atalay, Mehmet Batuhan Ors

“…Results: Preoperative prognostic nutritional index (PNI) was significantly lower in the CR-POPF group compared to the BL group (35.6 (30.1-47.9) vs 41.6 (33.5-58), P < .001). Receiver operating characteristic (ROC) curve analysis showed that the best cutoff of preoperative PNI value for predicting this progression was 38 (AUC = 0.835; 95% CI, 0.717-0.953; P = .001). …”
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The Predictive Value of the Pentraxin 3 Concentration in Cumulus Cell Culture Media for the Embryo Implantation by Tulay Irez, Yavuz Sahin, Eduard Malik, Onur Guralp

“…The culture media Pentraxin 3 concentration was a significant predictor for successful embryo implantation (AUC=0.845, p=0.006). A cut-off value of 64.25 ng/mL had an 86% sensitivity and 80% specificity to predict embryo implantation. …”
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Niveles de conservación y degradación de hábitat en los ecosistemas de una cuenca de alta biodiversidad en Tamaulipas (México) by Glenda Nelly Requena Lara, Juan Francisco Morales Pacheco, Rafael Cámara Artigas, Carlos Zamora Tovar

“…Este trabajo evaluó los niveles de degradación relativa de hábitat en la cuenca Guayalejo-Tamesí (Tamaulipas, México), respecto a los factores adyacentes que amenazan su calidad, usando el modelador Habitat Quality del Toolbox InVest 1.005beta para ArcGis-9.2. Los ecosistemas con menor amenaza a su hábitat (degradación nula o menor a 20 %) y con mejores oportunidades de conservación, representan el 77,3 % de la superficie de la cuenca. …”
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Spatial-temporal Pattern of the “Grain-for-Green Project” and Its Carbon Sequestration Effect in Guizhou Province by TAI Liang, CHEN Jia, LONG Wentao, CAI Huayin, WANG Xinxing

“…[Methods] Taking Guizhou Province as an example, the spatial and temporal distribution pattern and carbon stock changes of the “Grain-for-Green Project” in Guizhou Province from 2000 to 2020 were investigated by using ArcGIS in combination with the InVEST model. [Results] (1) During the 20-year period, land use in Guizhou Province had changed significantly, and the comprehensive dynamic had shown a downward and then an upward trend, which was 0.32%, 0.11%, 0.09%, 0.35% in order. …”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…Subsequently, the selected feature subsets were integrated into ten classification models, and a comprehensive weighted evaluation was performed based on the accuracy, precision, recall, F1 score, and AUC value of the model to determine the optimal model configuration. …”
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Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients by Yan Cao, Lanlan Meng, Yifei Wang, Shenglong Zhao, Yuanyuan Zheng, Rui Ran, Jie Du, Hongqiang Wu, Jiaqi Han, Zhengwen Xu, Yifan Lu, Lin Liu, Lu Chen, Jing Wang, Youran Li, Yanhong Zhai, Zhi Sun, Zheng Cao

“…Using liquid chromatography mass spectrometry (LC − MS), serum metabolomic profiling revealed that the development of PE was closely associated with disturbed amino acid metabolism. …”
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Maternal HIV and syphilis are not syndemic in Brazil: Hot spot analysis of the two epidemics. by Mary Catherine Cambou, Eduardo Saad, Kaitlyn McBride, Trevon Fuller, Emma Swayze, Karin Nielsen-Saines

“…In order to evaluate how the epidemics evolved over the time period, ArcGIS software was used to generate spatiotemporal maps of annual rates of detection of maternal HIV and syphilis in 2010 and 2018. …”
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The Association between Resolvin D1 Levels and Gestational Diabetes Mellitus: Implications for Perinatal Outcomes by Zeynep Seyhanli, Burak Bayraktar, Mevlut Bucak, Gulsan Karabay, Betul Tokgoz Cakir, Can Ozan Ulusoy, Gizem Aktemur, Selver Ozge Sefik, Serap Topkara Sucu, Sevki Celen, Ali Turhan Caglar

“…The analysis involved determining the optimal Resolvin D1 cut-off levels for predicting composite adverse neonatal outcomes in GDM using receiver operating characteristic curve (ROC) analysis. RESULTS: The plasma Resolvin D1 level in pregnant women with GDM was significantly higher compared to the control group (337±74.1 vs. 297±56.7, p<0.001). …”
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Plasma-derived extracellular vesicles prime alveolar macrophages for autophagy and ferroptosis in sepsis-induced acute lung injury by Rongzong Ye, Yating Wei, Jingwen Li, Yu Zhong, Xiukai Chen, Chaoqian Li

“…Notably, EV-based panels (miR-122-5p, miR-125b-5p, miR-223-3p, OLFM4, and LCN2) have been found to be associated with the severity or prognosis of sepsis, with promising AUC values. …”
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The age-adjusted international prognostic index 2 (A-FLIPI2) for elderly patients with follicular lymphoma by Jiesong Wang, Junlei Jia, Jingwei Yu, Jing Liu, Meng Gao, Hengqi Liu, Lanfang Li, Lihua Qiu, Shiyong Zhou, Bin Meng, Wenchen Gong, Zhengzi Qian, Xianhuo Wang, Huilai Zhang

“…Among the four scoring systems evaluated, A-FLIPI2 showed the highest AUC for predicting risk of death (0.793) and disease progression (0.678). …”
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