Opportunities and Challenges of Cardiovascular Disease Risk Prediction for Primary Prevention Using Machine Learning and Electronic Health Records: A Systematic Review by Tianyi Liu, Andrew J. Krentz, Zhiqiang Huo, Vasa Ćurčin

“…Recent advancements in machine learning (ML) have demonstrated substantial potential in augmenting risk stratification for primary prevention, surpassing conventional statistical models in predictive performance. …”
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Perioperative handover using ISBAR at two sites: A quality improvement project by Patricia Kitney, David Bramley, Raymond Tam, Koen Simons

“…Additionally, this study collected baseline data for all other handover points of care. Implications for practice: Results suggest an augmented education program over time produced statistically significant (p < 0.001) results for compliance with ISBAR principles for handover from anaesthetist to PACU nurse. …”
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Optimising AVATAR therapy for people who hear distressing voices: study protocol for the AVATAR2 multi-centre randomised controlled trial by Philippa Garety, Clementine J. Edwards, Thomas Ward, Richard Emsley, Mark Huckvale, Paul McCrone, Mar Rus-Calafell, Miriam Fornells-Ambrojo, Andrew Gumley, Gillian Haddock, Sandra Bucci, Hamish McLeod, Amy Hardy, Emmanuelle Peters, Inez Myin-Germeys, Thomas Craig

“…The primary outcome is the PSYRATS Auditory Hallucinations Distress dimension score at 16 and 28 weeks, conducted by blinded assessors. Statistical analysis will follow the intention-to-treat principle and data will be analysed using linear mixed models. …”
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Using Fuzzy Multi-Criteria Decision-Making as a Human-Centered AI Approach to Adopting New Technologies in Maritime Education in Greece by Stefanos I. Karnavas, Ilias Peteinatos, Athanasios Kyriazis, Stavroula G. Barbounaki

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Deep‐learning approaches to identify critically Ill patients at emergency department triage using limited information by Joshua W. Joseph, Evan L. Leventhal, Anne V. Grossestreuer, Matthew L. Wong, Loren J. Joseph, Larry A. Nathanson, Michael W. Donnino, Noémie Elhadad, Leon D. Sanchez

“…All successive increases in AUC were statistically significant. Conclusion Deep‐learning techniques represent a promising method of augmenting triage, even with limited information. …”
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Association of crop commercialization and rural households' multidimensional poverty using targeted maximum likelihood estimation by Anteneh Mulugeta Eyasu, Temesgen Zewotir, Zelalem G. Dessie

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Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study by Petra Hanson, Farah Abdelhameed, Mohammed Sahir, Nick Parsons, Arjun Panesar, Michaela de la Fosse, Charlotte Summers, Amit Kaura, Harpal Randeva, Vinod Menon, Thomas M Barber

“…Future studies must provide long-term data to understand if the benefits from the digital tool are sustained.…”
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EFFECTS OF AGRICULTURAL EXPORTS ON ECONOMIC GROWTH IN NIGERIA: A CO -INTEGRATION ANALYSIS (1980-2019) by Ahmed Olugbenga BUSARI, Adetunji Lawrence KEHINDE, Abolupe Oluyemi AYANBOYE

“…Data were analysed using descriptive statistics, Augmented Dickey-Fuller statistics, Johansen’s co-integration method, and vector error correction mechanism (VECM). …”
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Assessment of the Adequacy of Electrical Energy Demand Forecast Model for the Nigeria Power Distribution System via Stationarity Test by Olanike Ade-Ikuesan, Isaiah Adejumobi, Ibrahim Adebisi, Ganiyu Dawodu

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Impact of Urban Waterfront Green Space Landscape Elements on Public Health Behaviors Based on Restorative Perception by Yi WU, Hongfei QIU, Xinyue LUO, Yaping HU

“…Behavioral observations are also employed to document specific instances of public engagement in restorative, physical, and social activities within these sites. Ultimately, data analysis methods, including multiple regression analysis and mediation effect analysis, are applied to explore the interrelationships among landscape elements, restorative perceptions, and health behaviors.ResultsResearch findings are summarized as follows. 1) Natural landscapes significantly enhance the public’s restorative perception, while a high proportion of artificial elements has the opposite effect. …”
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The nexus between food security, health outcomes, and climate change: a multisectoral approach to sustainable development in Africa by Wenxin Wang, Isaac Adjei Mensah, Samuel Atingabili, Akoto Yaw Omari-Sasu, Emmanuel Nouwati, Clement Yenube Kunkuaboor, Mu Qiao

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Comunicazione Digitale XR: Assessing the impact of extended reality technologies on learning by Daniele Zolezzi, Saverio Iacono, Luca Martini, Gianni Viardo Vercelli

“…Quantitative data from surveys and log files were analyzed using descriptive statistics, while qualitative data from interviews were subjected to thematic analysis. …”
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Can Artificial Intelligence Create an Accurate Colonoscopy Bowel Preparation Prompt? by Marni H. Wilkoff, Nicholas R. Piniella, Rashmi Advani

“…A Research Electronic Data Capture survey was then distributed to all participants and analyzed using descriptive statistics. …”
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Effects of protein supplementation during pilates training on body composition, core muscle endurance, and joint flexibility in trained women: a randomized controlled trial by Christina Karpouzi, Antigoni Kypraiou, Vassilis Mougios, Anatoli Petridou

“…However, whether protein supplementation augments the adaptations to Pilates training remains unknown. …”
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Association between depression and health care expenditure in middle-aged and older patients with heart disease. by Shushu You, Xiang Gu, Jing Sui, Ziyu Xiang, Fan Gao

“…The present study assessed the correlation between depression and the medical expenditures of patients with heart disease, highlighting the importance of mental health care for patients with with heart disease.<h4>Method</h4>Using data from Charles, we identified 2445 middle-aged and older patients with heart disease based on their completed medical expenditure-related questionnaires. …”
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Oral and gut microbiota in gingivitis subtypes: a causal inference study using Mendelian randomization by Jichao Lin, Qingjiang Xu, Wei Bi, Youcheng Yu, Qinglian Wang

“…Nonetheless, it remains uncertain whether there is a direct causal relationship between the oral and gut microbiomes and gingivitis, especially in distinguishing between acute and chronic gingivitis. Methods We performed a two-sample Mendelian randomization (MR) analysis using GWAS summary statistics from FinnGen data (149 acute gingivitis cases, 850 chronic gingivitis cases, and 195,395 controls) to explore the causal role of oral and gut microbiota. …”
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Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting by Sheng-Tzong Cheng, Ya-Jin Lyu, Yi-Hong Lin

“…An augmented feature generator is introduced to enhance predictive performance by generating features such as differences, rolling statistics, and moving averages. …”
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Determination of Quality Characteristics of Advanced Chickpea Genotypes by Ömer SÖZEN, Gözde Nur PEKER

“…The study, which was carried out for two years, was established in an augmented trial design with 4 replications. During the research, water uptake capacity (g seed-1), water uptake index (%), swelling capacity (ml seed-1), swelling index (%), coat ratio (%), and protein ratio (%) data of 6 quality characteristics of chickpea genotypes were revealed. …”
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Clinical features and survival analysis of adult patients with severe lower respiratory tract infection positive for respiratory syncytial virus by Jiahua Tian, Ling Zhang, Xunling Wang, Guichuan Huang, Zhu Li, Ling Gong, Daishun Liu

“…The sputum specimens were collected for RSV testing, and the clinical data were collected and analyzed statistically. Results The findings revealed that patients in the RSV-positive group were older, had a higher prevalence of underlying diseases, were more likely to require noninvasive mechanical ventilation, and had prolonged hospital stays compared with those in the RSV-negative group. …”
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Implementation of equity and access in Indian healthcare: current scenario and way forward by Canna Ghia, Gautam Rambhad

“…The present review is aimed to delineate the past and present healthcare scenarios in India, health-care policies, and other initiatives for achieving universal health coverage (UHC).Methods A literature search was done on various government databases, websites, and PubMed for obtaining data and statistics on healthcare funding, health insurance schemes, healthcare budget allocations, categories of medical expenses, government policies, and health technology assessment (HTA) in India.Results The available data indicates 37.2% of the total population is covered by any health insurance of which 78% are covered by public insurance companies. …”
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