Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus by Changfan Peng, Long Hu, Wanwen Su, Xin Hu

“…Epidemiological data from 3,015 participants in the CHARLS database were analyzed using multivariate logistic regression and Cox proportional hazards models to assess the association between COVID-19 and POAG, with stratification by gender, smoking status, and alcohol consumption. …”
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Endocrine disruptors and bladder function: the role of phthalates in overactive bladder by Li Liu, Xia Li, Xuexue Hao, Zhunan Xu, Qihua Wang, Congzhe Ren, Muwei Li, Xiaoqiang Liu

“…Additionally, Bayesian Kernel Machine Regression (BKMR) analysis was performed to explore the overall effects and interactions of phthalate mixtures.ResultsIn the multivariable logistic regression model fully adjusted for confounding variables, higher concentrations of MBzP and MiBP were associated with an increased risk of OAB, particularly in the highest tertiles (MBzP: OR = 1.401, 95% CI: 1.108–1.771; MiBP: OR = 1.050, 95% CI: 1.045–1.056). …”
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Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis. by Shuxiao Ma, Lu Zhou, Yi Liu, Hui Jie, Min Yi, Chenglin Guo, Jiandong Mei, Chuan Li, Lei Zhu, Senyi Deng

“…The Chemotherapy Benefit Index (CBI) was developed using these genes via multivariable Cox regression analysis, and validated using both internal and external validation sets (GSE32062 and GSE30161) with a random forest model. …”
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Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness by Mouhamadou Lamine NDAO, Genane YOUNESS, Ndèye NIANG, Gilbert SAPORTA

“…In predictive maintenance, the complexity of the data often requires the use of Deep Learning models. These models, called “black boxes”, have proved their worth in predicting the Remaining Useful Life (RUL) of industrial machines. …”
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Therapy response prediction of focal cortex stimulation based on clinical parameters: a multicentre, non-interventional study protocol by Andreas Schulze-Bonhage, Ann Mertens, Felix von Podewils, Martin Hirsch, Yaroslav Winter, Susanne Knake, Ekaterina Pataraia, Thomas Mayer, Yvonne G Weber, Rainer Surges, Jan Wagner, Hajo M Hamer, Tim Wehner, Christoph Baumgartner, Lukas Imbach, Bernhard J Steinhoff, Sotirios Kalousios, Jürgen Hesser, Matthias Dümpelmann, Elisabeth Kaufmann, Josua Kegele, Georg Leonhardt, Carlos M Quesada, Berthold R Voges

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Cooling the land surface: Ecosystem health and water availability drive the landscape capacity to mitigate climate change by Jana Müllerová, Erik Šiffel

“…LST data were obtained from MODIS and Landsat 8 sensors in a cloud-based Google Earth Engine platform. Machine learning regression model enabled us to assess complex multivariable relationships and increase the LST spatial resolution. …”
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Treatment response of patients with tuberculosis and HIV co-infection: a retrospective analysis of secondary data from Shanghai, China, 2010–2020 by Chenyu Dong, Renfang Zhang, Shenyang Li, Jun Chen, Yunhe Liu, Xiaoqiong Xia, Gang Liu, Yinzhong Shen, Lei Liu, Liyan Zeng

“…Data mining techniques were employed, including consensus clustering, Fisher’s exact test, stratified analysis, multivariate logistic regression analysis, and three modeling approaches (logistic regression, support vector machine, and random forest). …”
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Evaluation and analysis of risk factors for fractured vertebral recompression post-percutaneous kyphoplasty: a retrospective cohort study based on logistic regression analysis by YingLun Zhao, Bo Li, Lu Qian, XueMing Chen, YanHui Wang, LiBin Cui, Yuan Xin, Liang Liu

“…Machine learning models (e.g., random forest) were also evaluated but did not outperform logistic regression in accuracy or interpretability. …”
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Routization Problem Complicated by the Dependence of Costs Functions and «Current» Restrictions From the Tasks List by A. G Chentsov, A. A. Chentsov

“…The used algorithm is realized on a personal computer; the results of its application are illustrated by the modelling examples.…”
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Association Between Atherogenic Index of Plasma and Endometriosis: Evidence from NHANES 1999–2006 by Liu L, Su G, Rao J, Peng J, Lin X, Huang Y, Liang F, Feng C, Lin Z

“…Upon full adjustment for relevant covariates, the continuous model through multivariable logistic regression demonstrated a notable association between heightened AIP levels and the risk of endometriosis (OR = 2.578, 95% CI: 1.232– 5.394, P = 0.013). …”
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Can synthetic data be a proxy for real clinical trial data? A validation study by Monica Parry, Karolina Kublickiene, Valeria Raparelli, Peter Klimek, Alexandra Kautzky-Willer, Louise Pilote, Michal Abrahamowicz, Colleen M. Norris, Maria Trinidad Herrero, Khaled El Emam, Ruth Sapir-Pichhadze, Simon Bacon, Jennifer Fishman, Zahra Azizi, Chaoyi Zheng, Lucy Mosquera, Karin Humphries, Khaled El Emam

“…Percentage CI overlap was used to assess the similarity in the size of the bivariate relationships, and similarly for the multivariate Cox models derived from the two datasets.Results Analysis results were similar between the real and synthetic datasets. …”
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Extended length of stay in open versus minimally invasive surgery with robotic-assisted sub-analysis for spinal nerve sheath tumor resection: a nationwide analysis by Taha Khalilullah, Abdul Karim Ghaith, Xinlan Yang, Shaan Bhandarkar, Linda Tang, Yuanxuan Xia, Richard Crawford, Tej Azad, Jawad Khalifeh, A. Karim Ahmed, Nicholas Theodore, Daniel Lubelski

“…Gradient Boosting had the highest predictive performance among machine learning models (AUC: 0.594), followed by AdaBoost and logistic regression. …”
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Metal mixtures exposure with risk of elevated serum neurofilament light chain concentrations in U.S. general adults, NHANES 2013–2014 by Yan Wang, Keyi Zhang, Hao Li, Si Liu, Linyao Ying, Lu Xiang, Na Liang, Liangkai Chen, Lin Xiao, Gang Luo

“…We employed a two-pronged approach, combining weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models, to examine the association between the multiple-metals effect and sNfL concentrations. …”
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Association between organophosphate esters exposure and the prevalence of hyperuricemia in US adults from NHANES 2011–2016 by Qiong Huang, Wenbin Nan, Siqi Li, Baimei He, Xu Cai, Zhenyu Peng, Chenlu Wu

“…We aimed to assess the association between OPEs metabolites and the prevalence of hyperuricemia. Multivariable logistic regression, weighted quantile regression (WQS) model, and Bayesian kernel machine regression (BKMR) models were used to investigate the association of OPEs metabolites with the risk of hyperuricemia. …”
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LandScan Global 30 Arcsecond Annual Global Gridded Population Datasets from 2000 to 2022 by Viswadeep Lebakula, Kelly Sims, Andrew Reith, Amy Rose, Jake McKee, Phil Coleman, Jason Kaufman, Marie Urban, Chris Jochem, Carrie Whitlock, Mitchell Ogden, Joe Pyle, Darrell Roddy, Justin Epting, Eddie Bright

“…Abstract Oak Ridge National Laboratory (ORNL) annually develops the LandScan Global (LSG) dataset, a 30 arcsecond global gridded population dataset representing global ambient human population distribution. This multivariable dasymetric model disaggregates census counts within administrative boundaries using ancillary data. …”
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Development and temporal validation of a nomogram for predicting ICU 28-day mortality in middle-aged and elderly sepsis patients: An eICU database study. by Xiao She, Xiao Zhao, Haiyan Yang, Xiaoguang Cui

“…Given the limitations of conventional scoring systems and the interpretability challenges of machine learning models, this study aims to develop and temporally validate a nomogram for predicting 28-day ICU mortality in middle-aged and elderly sepsis patients via the eICU database (2014--2015), providing a clinically practical prediction tool.…”
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Down-regulation of serum SIRT6 levels is associated with an increased risk of chronic intestinal inflammation in children exposed to airborne particulate matter and polycyclic arom... by Tengyang Huang, Xijin Xu, Shuqin Chen, Zhiping Liu, Yu Huang, Xia Huo, Guangcan Chen

“…Statistical analyses included Spearman correlations, multivariate regression, and Bayesian kernel machine regression (BKMR) to evaluate pollutant effects on SIRT6 and inflammation. …”
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Joint association of the triglyceride–glucose index and stress hyperglycemia ratio with incidence and mortality risks of new-onset atrial fibrillation during sepsis: a retrospectiv... by Zhihong Zuo, Zijing Zhou, Qiang Liu, Ruizheng Shi, Ting Wu

“…Primary outcomes were defined as the incidence and 360-day mortality of in-hospital NOAF among patients with sepsis. Logistic model, Cox proportional hazard model, Kaplan-Meier analysis and receiver-operating characteristic (ROC) were performed to explore the association between the indices and clinical outcomes. …”
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Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions? by Kazuki Nishida, Takayasu Ito, Shingo Iwano, Shotaro Okachi, Shota Nakamura, Basile Chrétien, Toyofumi Fengshi Chen-Yoshikawa, Makoto Ishii

“…A separate exploratory random-forest model with SHAP analysis was used to explore factors associated with successful repositioning in lesions not initially “within.” …”
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Cardiovascular magnetic resonance imaging traits associated with adverse right ventricular remodeling in repaired tetralogy of Fallot: A Single Center Outcomes Using cardiovascular... by Elizabeth W. Thompson, Ningiun J. Dong, Jin-seo Kim, Abhijit Bhattaru, Phuong Vu, Fengling Hu, Russell T. Shinohara, Sophia Swago, Elizabeth Donnelly, Xuemei Zhang, Annefleur Loth, Lipika Vuthuri, Kristen Lanzilotta, Kevin K. Whitehead, Jeffrey Duda, James Gee, Laura Almasy, Elizabeth Goldmuntz, Mark A. Fogel, Walter R. Witschey

“…The nnU-Net method was used to train a machine learning model to segment the left ventricular (LV) blood pool, LV myocardium, and RV blood pool from two-dimensional short-axis CMR images. …”
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