Optimal Profile Limits for Maternal Mortality Rates (MMR) Influenced by Haemorrhage and Unsafe Abortion in South Sudan by Gabriel Makuei, Mali Abdollahian, Kaye Marion

“…Coefficients of determination and variance inflation factor are deployed to assess the influence of the individual causes on MMR. …”
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Temporal trends in online searches related to COVID-19 vaccine safety: A digital infodemiology study by Akshaya Srikanth Bhagavathula, Theodoros Daglis, Vijay Kumar Chattu

“…A joinpoint regression analysis was used to determine the search trends during the study period. …”
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Association of atrial fibrillation burden and clinical profile with blood biomarkers: Results from the ISOLATION Ablation Cohort by Zarina Habibi, MD, Dominique V.M. Verhaert, MD, PhD, Konstanze Betz, MD, Ben J.M. Hermans, MD, PhD, Joris Winters, MD, PhD, Suzanne A.M. Philippens, Sevasti-Maria Chaldoupi, MD, PhD, Bart Maesen, MD, PhD, Jos G. Maessen, MD, PhD, Aaron Isaacs, PhD, Sjoerd W. Westra, MD, Robin Nijveldt, MD, PhD, Ludovic Gillet, PhD, Ursula-Henrike Wienhues-Thelen, PhD, Merlin Koehler, Stef Zeemering, PhD, Kevin Vernooy, MD, PhD, Dominik Linz, MD, PhD, Ulrich Schotten, MD, PhD

“…AF burden was assessed using hand-held electrocardiograms (ECGs) over 4 weeks. Blood samples were analyzed for biomarkers, including bone morphogenetic protein 10 (BMP10), angiopoietin-2 (Ang-2), fibroblast growth factor 23 (FGF23), and others. …”
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A large multisite lipidomic investigation of parity and aging in dairy cows by David B. Sheedy, Helen M. Golder, Sergio C. Garcia, Zhiqian Liu, Peter Moate, Priyanka Reddy, Simone J. Rochfort, Jennie E. Pryce, Ian J. Lean

“…Multiple linear regression and orthogonal partial least squares (O-PLS) investigated the association of the lipid profile with age (d), whereas discriminant analysis compared first parity with >3 parity cows in O-PLS discriminant analysis, random forest, and support vector machine models. …”
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Optimizing ecological security models in typical arid areas: integrated assessment and sustainable management by Juan Yang, Jianghua Zheng, ChuQiao Han, Binbin Lu, Wenjie Yu, Zhe Wang, Jiale Wu, Linzhi Han

“…Additionally, we employed Partial Least Squares Structural Equation Modeling (PLS-SEM) and Geographically and Temporally Weighted Regression (GTWR) to analyze the driving factors and pathways that influence ecological security. …”
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Development and validation of novel models based on clonality immunoglobulin gene rearrangement for evaluation of bone marrow involvement and prognostic prediction in patients with... by Zelin Liu, Zelin Liu, Qianping Li, Qianping Li, Ruiqi Liu, Yangyang Ding, Yangyang Ding, Ya Liao, Ya Liao, Linhui Hu, Linhui Hu, Lianfang Pu, Lianfang Pu, Chunhua Zhu, Shenghui Zhang, Shenghui Zhang, Shudao Xiong, Shudao Xiong, Shudao Xiong

“…Survival outcomes were analyzed via Kaplan-Meier and Cox regression models. …”
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Impact of the Composite Allocation Score on Lung Transplant Waitlist and Posttransplant Outcomes by Ye In Christopher Kwon, BA, Holly Caboti-Jones, BS, Michael Keller, BS, Andrew Min-Gi Park, BA, Alan Lai, BS, Rachit D. Shah, MD, Zachary Fitch, MD, Vigneshwar Kasirajan, MD, Vipul Patel, MD, Zubair A. Hashmi, MD

“…Using the United Network for Organ Sharing registry (2022–2024), adult patients listed for isolated LT were divided into 2 eras: era 1 (pre-CAS: March 1, 2022–March 8, 2023) and era 2 (post-CAS: March 9, 2023–September 30, 2024). Competing risk regression analyzed waitlist events. Recipient/donor characteristics and mortality risk factors were assessed with Cox models. …”
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Assessing the risk of high-grade squamous intraepithelial lesions (HSIL+) in women with LSIL biopsies: a machine learning-based study by Dongmei Li, Zhichao Wang, Yan Liu, Meiyuan Zhou, Bo Xia, Lin Zhang, Keming Chen, Yong Zeng

“…Abstract Objective This study aims to analyze factors associated with the missed diagnosis of high-grade squamous intraepithelial lesions (HSIL+) in patients initially diagnosed with low-grade squamous intraepithelial lesions (LSIL) through colposcopic biopsy and to develop a predictive model for assessing the risk of missed HSIL+. …”
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Determinants of outcomes in patients with hepatitis B virus-decompensated cirrhosis by Yi-Jie Huang, Jun-Sing Wang, Cheng-Hsu Chen, Shou-Wu Lee, Chung-Hsin Chang, Szu-Chia Liao, Yen-Chun Peng, Teng-Yu Lee, Tsai-Chung Li

“…A total of 278 cirrhotic decompensated CHB patients treated with entecavir or tenofovir disoproxil fumarate were retrospectively enrolled. Cox regression models were used to analyze factors associated with all-cause mortality. …”
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A nomogram to predict mortality in patients with severe fever with thrombocytopenia syndrome at the early stage-A multicenter study in China. by Lin Wang, Gang Wan, Yi Shen, Zhenghua Zhao, Ling Lin, Wei Zhang, Rui Song, Di Tian, Jing Wen, Yongxiang Zhao, Xiaoli Yu, Li Liu, Yang Feng, Yuanni Liu, Chunqian Qiang, Jianping Duan, Yanli Ma, Ying Liu, Yanan Liu, Chong Chen, Ziruo Ge, Xingwang Li, Zhihai Chen, Tianli Fan, Wei Li

“…The multivariable Cox proportional hazard regression analysis showed that low lymphocyte percentage, early-stage encephalopathy, and elevated concentration of serum LDH and BUN were independent risk factors for fatal outcomes. …”
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TRADE AND LOGISTICS BETWEEN THE EU AND UKRAINE IN THE WARTIME PERIOD by Oleksandr Shnyrkov, Rita Zablotska, Oleksii Chugaiev

“…Additionally, there was a smaller increase in the importance of rail transport for Ukrainian imports, rising from 5.7% to 9.3%, compensating for the declining shares of sea and air transport. Regression analysis showed that pre-war dominant modes of transport, logistics performance in trade partners, and their changes during the war did not significantly affect Ukraine’s trade dynamics with them in 2023 compared to 2021, after controlling for other factors. …”
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Efficacy of using a digital health intervention model using community health workers for primary health services in Bangladesh: a repeated cross-sectional observational study by Marzia Zaman, Rubaiyat Alim Hridhee, Refat Ahmed Bhuiyan, Charles Aunkan Gomes, Md. Mashiar Rahman, Sheikh Mohammed Shariful Islam, Farhana Sarker, Khondaker A. Mamun

“…Multivariate logistic regression was used to analyze the association between diseases and their respective risk factors. …”
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The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making by Muhammad Nauman, Ahmad S. Almadhor, Mohammed Albekairi, Ali R. Ansari, Muhammad A. B. Fayyaz, Raheel Nawaz

“…The CDC’s Behavioral Risk Factor Surveillance System (BRFSS) was used to empirically demonstrate the advantages of integrating BDA with ML for medical decision-making in Big Data environments. …”
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The Spatiotemporal Evolution of Land Use Ecological Efficiency in the Huaihai Economic Zone: Insights from a Multi-Dimensional Framework and Geospatial Modeling by Gan Teng, Longqian Chen, Ting Zhang, Long Li, Jue Xiao, Linyu Ma

“…Furthermore, the enhanced Geographically and Temporally Weighted Regression model was applied to examine the spatiotemporal heterogeneity of industrial structure, ecological background, land use, and other factors influencing land use eco-efficiency. …”
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Hyperuricemia predicts adverse clinical outcomes after arthroscopic microfracture of osteochondral lesions of the talus by Yuanqiang Li, Zhenyu Wang, Guo Zheng, Lin Ma, Xin Xin Li, Yan Liang, Xinyu Xie, Xiaolin Zhang, Chengsong Yuan, Wan Chen

“…Logistic regression identified risk factors, and Receiver Operating Characteristic Curves (ROC) determined the serum uric acid cut-off value for predicting outcomes, which was prospectively validated. …”
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Associations of biological aging with the morbidity and all-cause mortality of patients with lung cancer by Qihang Xie, Haoran Qu, Siyu Xie, Wenhao Li, Rui Ouyang, Chengxiang Zhang, Ming Du

“…Abstract Accelerated biological aging has been suggested to be an important risk factor for age-related diseases, but its role in the development of lung cancer is still unclear. …”
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C-reactive protein is a more valuable marker in predicting the severity of complications in measles-affected children compared to blood cells count-derived inflammatory indices by Stojiljković Marija, Miljković Mirjana

“…In severely complicated measles form, significantly higher values of granulocytes, CRP, GLR, and PLR were documented, including lower lymphocytes (p ˂ 0.05). A linear regression analysis showed that CRP was the only indicator with predictive significance for the severity of the course of measles. …”
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Epidemiology of respiratory syncytial virus and its subtypes among cases of influenza like illness and severe acute respiratory infection: findings from nationwide sentinel surveil... by Adamu Tayachew, Zelalem Mekuria, Wolde Shure, Dawit Assefa Arimide, Ayele Gebeyehu, Tsegaye Berkesa, Melaku Gonta, Gizaw Teka, Mandefro Kebede, Daniel Melese, Mesfin Wossen, Melkamu Abte, Mesay Hailu, Nega Berhe, Patrik Medstrand, Nigatu Kebede

“…Laboratory investigation was performed using reverse transcription polymerase chain reaction (RT-PCR). Data were analyzed using SPSS V29. Descriptive statistics were used to summarize frequencies and ratios, and multivariable logistic regression model was employed to assess factors associated with RSV positivity. …”
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Effect of dairy cow personality traits and concentrate allowance on their response to training and adaptation to an automated milking system by A.J. Schwanke, K.M. Dancy, H.W. Neave, G.B. Penner, R. Bergeron, T.J. DeVries

“…Principal components analysis of behaviors observed during the personality assessment revealed 2 factors (interpreted as boldness and activeness traits) that together explained 85% of the variance; each cow received a score for each trait. …”
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Discrepancy between self-assessed hearing status and measured audiometric evaluation. by So Young Kim, Hyung-Jong Kim, Min-Su Kim, Bumjung Park, Jin-Hwan Kim, Hyo Geun Choi

“…The associations of age, sex, education level, stress level, anxiety/depression, tympanic membrane (TM) status, hearing aid use, and tinnitus with the discrepancy between the hearing self-reported hearing loss and audiometric pure tone threshold results were analyzed using multinomial logistic regression analysis with complex sampling.…”
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