Epidemiological and clinical characteristics of bacterial co-detection in respiratory syncytial virus-positive children in Wenzhou, China, 2021 to 2023 by Xiaoxiao Qu, Xuanmei Ye, Jian Yu, Feifei Zheng, Yatian Tang, Fangling Yuan, Qipeng Xie

“…Missing data were addressed using multiple imputation. …”
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Clustering of physical health multimorbidity in people with severe mental illness: An accumulated prevalence analysis of United Kingdom primary care data. by Naomi Launders, Joseph F Hayes, Gabriele Price, David Pj Osborn

“…Limitations to this study include missing data, which may have led to residual confounding, and an inability to investigate the temporal associations between SMI and physical health conditions.…”
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Urinary total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanonol is positively associated with tooth loss by Lin Niu, Yuwei Zhang, Hu Zhu, Yue Jia, Changjie Sun, Yifei Zhang, Xuefei Sun, Zhaojing Ding, Jingning Gou, Luming Wang, Rui Zou, Shaojie Dong

“…Conclusions Our study revealed a positive relationship between urinary TNNAL and tooth loss, and further demonstrated the mediating role of RDW and MHR between the TNNAL and the number of missing teeth in the whole popualtion. These findings will provide new theoretical insights for policy formulation and clinical therapeutic for the target prevention and intervention of related diseases.…”
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Unpacking the Mood States of Children and Youth in Saskatchewan, Canada, in the Context of the COVID-19 Pandemic: Insights from the “See Us, Hear Us 2.0” Study by Nahin Shakurun, Tamara Hinz, Daniel A. Adeyinka, Nazeem Muhajarine

“…Multiple linear regression and mediation analyses were conducted, ensuring sample representativeness with sampling weights and addressing missing data through multiple imputations. Results: The participants reported mood symptoms (“moderate” to “extreme”) ranging from 23% to 38% on the CRISIS scale. …”
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Evaluating the Impact of Pediatric Digital Mental Health Care on Caregiver Burnout and Absenteeism: Longitudinal Observational Study by Darian Lawrence-Sidebottom, Kelsey McAlister, Aislinn Brenna Beam, Rachael Guerra, Amit Parikh, Monika Roots, Donna McCutchen, Landry Goodgame Huffman, Jennifer Huberty

“…Digital mental health interventions (DMHIs) are increasingly used to support pediatric mental health, but their impact on caregiver outcomes remains underexplored. …”
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Oral health status, behavior and impact profile among naval personnel in the Malaysian naval armed forces by Nik Madihah Nik Azis, Raja Noreihan Raja Abdullah, Mohamad Nur Adzmi Mohamad Ayub, Badiah Baharin

“…These findings highlight the need for tailored oral health interventions within the naval setting to enhance deployment readiness, improve oral health outcomes, and elevate the quality of life for naval personnel. …”
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An unsupervised cluster analysis of multimorbidity patterns in older adults in Shenzhen, China by Xiaolong Guo, Peiyi Liu, Jing Guo, Naiwen Zhang, Haiyan Huang, Jianjun Liu, Zhen Tan, Guo Dan

“…Studies on multimorbidity in Shenzhen have primarily focused on the quantity of multimorbidity, lacking in-depth exploration of multimorbidity patterns.MethodsBased on baseline data from the Shenzhen aging-related disease cohort, this study analyzed information from 8,911 people aged 60 and above after excluding missing and abnormal values from interview results. …”
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Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data. by Ali Golestani, Nazila Rezaei, Mohammad-Reza Malekpour, Naser Ahmadi, Seyed Mohammad-Navid Ataei, Sepehr Khosravi, Ayyoob Jafari, Saeid Shahraz, Farshad Farzadfar

“…Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. While machine learning (ML) has been increasingly used to predict RTAs, the lack of interpretability limits its applicability in policymaking. …”
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TB elimination in Southern Africa: overview and critical reflection by J. Boffa, D. Vambe, C. Khosa, B. José, N. Ndjeka, T. Nkomo, A.W. Kay, A.M. Mandalakas, L. Mvusi, S.V. Omar, S. Thi, K. Velen, S. Charalambous, M.X. Rangaka

“…Identifying and treating missing people with TB, diagnosing TB in children, and improving treatment adherence remain critical areas requiring enhanced support and resources. …”
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Weaponised uranium and adverse health outcomes in Iraq: a systematic review by Elie A Akl, Lara A Kahale, Shelby Surdyk, Moustapha Itani, Mais Al-Lobaidy, Aida Farha, Omar Dewachi

“…More primary research and the release of missing data are needed to design meaningful health and policy interventions in Iraq.…”
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Exploring the impact of glycemic variability on clinical outcomes in critically ill cerebral infarction patients by Hui Yang, Hongcai Wang, Yan Jiang

“…Predictive performance was assessed using AUC, NRI, and IDI, and multiple imputation methods addressed missing data. Results Higher GV was significantly linked to adverse outcomes. …”
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Understanding the relationship between sport-related psychological safety and mental toughness in male elite athletes by Yasutaka Ojio, Kai Yamada, Rei Amemiya, Shin Kawamura, Simon M. Rice, Rosemary Purcell

“…Results: The analysis included 220 players with no missing values (response rate: 40.6%). Higher SPSI scores were associated with lower K10 scores (β = −0.367, p < 0.001). …”
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Development and validation of a novel AI-derived index for predicting COPD medical costs in clinical practice by Guan-Heng Liu, Chin-Ling Li, Chih-Yuan Yang, Shih-Feng Liu

“…Methods: A retrospective analysis of 396 COPD patients was conducted, utilizing clinical, demographic, and comorbidity data. Missing data were addressed through advanced imputation techniques to minimize bias. …”
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The Potentials and Caveats of Mesenchymal Stromal Cell-Based Therapies in the Preterm Infant by Judith Gronbach, Tayyab Shahzad, Sarah Radajewski, Cho-Ming Chao, Saverio Bellusci, Rory E. Morty, Tobias Reicherzer, Harald Ehrhardt

“…Despite the tremendous progress in the understanding of disease pathologies, therapeutic interventions with proven efficiency remain restricted to a few drug therapies with restricted therapeutic benefit, partially considerable side effects, and missing option of applicability to the inflamed brain. …”
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Determinants of oral health among Iranian soldiers: a structural equation modeling study by Morteza Banakar, Akram Ghannadpour, Arghavan Behbahanirad, Hassan Joulaei, Kamran Bagheri Lankarani

“…The findings highlight the need for targeted interventions to address modifiable risk factors and improve access to preventive dental care within military settings. …”
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Machine learning predictive performance in road accident severity: A case study from Thailand by Ittirit Mohamad, Sajjakaj JomnonKwao, Vatanavongs Ratanavaraha

“…The dataset underwent extensive preprocessing, including missing value imputation, data balancing checks, and feature selection to ensure robustness. …”
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Development and validation of a predictive model for sarcopenia risk in older Chinese adults based on key factors by Qianwei Sun, Lei Shen, Huamin Liu, Zhangqun Lou, Qi Kong

“…After excluding individuals with missing data, extreme values, or confounding conditions (e.g., cancer, disabilities), 2,197 participants were included. …”
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Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models by Hülya Yilmaz Başer, Turan Evran, Mehmet Akif Cifci

“…To address class imbalance and missing data, we employed the Synthetic Minority Oversampling Technique and systematic imputation methods, respectively. …”
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Impact of Fixed Orthodontic Appliance Treatment on Children&amp;rsquo;s Mental Health, Quality of Life and Social Context: A Scoping Review by Schmahl T, Steinhäuser J, Wewetzer L, Goetz K

“…It is one of the longest and most common medical interventions for children. There is a growing interest in the connection between orthodontic treatment and children’s oral health-related quality of life to provide an insight into treatment needs and outcomes, as well as long-term improvement in oral health. …”
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Usability and Impact of the Web-Based Dementia Foundations Educational Program in Personal Support Workers (PSWs), PSW Trainees, and Care Companions: Quasi-Experimental Study by Anthony J Levinson, Stephanie Ayers, Sandra Clark, Patricia Gerantonis, Amy Schneeberg, Richard Sztramko

“…Of the 50 participants, 46 (92%) agreed that the web-based training met their expectations, 47 (94%) agreed that the training covered a broad range of topics and was not missing any important content, and 49 (98%) agreed that the web-based training would benefit them. …”
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