Machine learning-driven prediction of hospital admissions using gradient boosting and GPT-2 by Xingyu Zhang, Hairong Wang, Guan Yu, Wenbin Zhang

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Risk Management in the IT Sector Under the Conditions of Digitalization of Economic Systems by Peshko Maksym I., Melnyk Olga G.

“…Digital transformation facilitates process automation, data-driven decision-making, improved collaboration, and the implementation of agile methodologies. …”
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Multimodal Preoperative Management of Rectal Cancer: A Review of the Existing Guidelines by Ionut Negoi

“…Comprehensive staging integrates clinical evaluation, thorough medical history analysis, assessment of carcinoembryonic antigen (CEA) levels, and computed tomography (CT) imaging of the abdomen and thorax. …”
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Automated Implementation of the Edinburgh Visual Gait Score (EVGS) by Ishaasamyuktha Somasundaram, Albert Tu, Ramiro Olleac, Natalie Baddour, Edward D. Lemaire

“…This automated EVGS approach can minimize the workload for clinicians through the introduction of automated, rapid gait analysis and enable mobile-based applications for clinical decision-making.…”
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Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data by Omid Reisi Gahrouei, Jean-François Côté, Philippe Bournival, Philippe Giguère, Martin Béland

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A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…The proposed methodology integrates a transformer-based encoder, multi-teacher knowledge distillation, and a symbolic belief–desire–intention (BDI) reasoning layer to combine deep feature extraction with interpretable decision making. The novelty of this work lies in the incorporation of cognitive symbolic reasoning into a high-performance learning architecture for fraud detection. …”
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Ensemble weather-runoff forecasting models for reliable flood early warning systems by Alberto de la Fuente, Carolina Meruane, Viviana Meruane

“…Finally, we introduced the concept of conditional probability to estimate the likelihood of exceeding a threat peak flow, providing a basis for raising alerts and improving decision-making under uncertain conditions.…”
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A Hybrid AI Framework for Enhanced Stock Movement Prediction: Integrating ARIMA, RNN, and LightGBM Models by Adel Alarbi, Wagdi Khalifa, Ahmad Alzubi

“…The findings emphasize AR-ERLM’s potential to enhance predictive accuracy, mitigating overfitting and reducing computational overhead. These implications are crucial for financial institutions and investors seeking reliable tools for risk assessment and decision-making. …”
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Evaluation of UAV-Based RGB and Multispectral Vegetation Indices for Precision Agriculture in Palm Tree Cultivation by S. M. Anzar, K. Sherin, A. Panthakkan, S. Al Mansoori, H. Al-Ahmad

“…This research underscores the potential of UAV-based RGB imaging as a powerful tool for precision agriculture, enabling broader adoption of data-driven decision-making in crop management. By leveraging the strengths of both multispectral and RGB imaging, this work advances the state of UAV applications in agriculture, paving the way for more efficient and scalable farming solutions.…”
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Advancing Gait Analysis: Integrating Multimodal Neuroimaging and Extended Reality Technologies by Vera Gramigna, Arrigo Palumbo, Giovanni Perri

“…We highlight its potential to provide real-time, high-resolution data and immersive visualization, facilitating improved clinical decision-making and rehabilitation strategies. Additionally, we address the challenges of integrating these technologies, such as data fusion, computational demands, and scalability. …”
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Epidemiology of arboviruses in humans and livestock in Ethiopia: a systematic review and meta-analysis by Alemu Gedefie, Habtu Debash, Altaseb Beyene Kassaw, Gossa Mankelkl, Yeshi Metaferia, Melaku Ashagrie Belete, Sisay Desale, Saleamlak Sebsibe, Mihret Tilahun, Bruktawit Eshetu, Agumas Shibabaw, Yeshimebet Kassa, Hussen Ebrahim, Zewudu Mulatie, Ermiyas Alemayehu, Lebasie Woretaw, Berhanu Kebede, Minwuyelet Maru Temesgen, Natan Kassaye Msganew, Melkam Tesfaye

“…To support targeted evidence-based public health decision-making, comprehensive evidence of arbovirus prevalence is crucial. …”
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A systematic literature review on socio-ecological value scorecards for advancing sustainable smart agriculture by Saeed Niksaz, Fisnik Dalipi, Anita Mirijamdotter

“…A socio-ecological value scorecard is essential for informing decision-making and enhancing farming systems; yet, there is a significant gap in thoroughly examining its role in addressing agricultural challenges. …”
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Planning Crop Production with the Use of Digital Technologies by V. V. Alt, S. P. Isakova

“…Agricultural production is shown to be associated with land distribution, variety of agricultural technologies, climatic variability, information diversity, complex algorithms for strategic and tactical decision making. It was noted that the solution to the problem of production planning implies systematizing and structuring the information about technological operations, identifying features and working out parameters for technology selection (adjustment), modeling the agricultural technological process, and the creation of automated information support. …”
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Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans by Mahshid Nik Ravesh, Nazila Ameli, Manuel Lagravere Vich, Hollis Lai

“…Its compact architecture and strong performance suggest it is suitable for real-time clinical decision-making, particularly in identifying cases that may benefit from surgical intervention. …”
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Diagnostic Accuracy of Non-Radiologist-Performed Ultrasound for Diagnosing Acute Appendicitis in Pediatric Patients: A Systematic Review and Meta-Analysis by Se Kwang Oh

“…These findings support its implementation in emergency or resource-constrained settings and suggest that incorporating structured ultrasound training for non-radiologists may improve timely diagnosis and optimize clinical decision-making in pediatric emergency care.…”
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Comparative Analysis of qSOFA, PRIEST, PAINT, and ISARIC4C Scores in Predicting Severe COVID-19 Outcomes Among Patients Aged over 75 Years by Daniela Rosca, Vamsi Krishna, Chandramouli Chetarajupalli, Adelina Maria Jianu, Ilona Emoke Deak, Claudia Raluca Balasa Virzob, Sorina Maria Denisa Laitin, Madalina Boruga, Rodica Lighezan

“…These tools can be crucial for early identification of patients at high risk of adverse outcomes, guiding clinical decision making, and optimizing resource allocation. …”
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Transformational influence of the impact player rule on performance quality and entertainment value in the 2023 season: a comprehensive analysis of cricket by S. Sanjaykumar, M. Ezhilarasan, D. J. Asath Ali Khan, Joseph Lobo, Vlad A. Geantă, Edi Setiawan

“…Understanding the positive impact of the impact player rule on the IPL can aid in making informed decisions to further enhance the league's competitiveness and entertainment value. …”
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Thyroid differentiation profile for differentiated thyroid cancer by Anthony J McGoron, Jose M Garcia, Burulça Uluvar, Seza A Gulec

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Reliability of Upper Extremity Functional Performance Tests for Overhead Sports Activities by Bryan L Riemann, Kevin E Wilk, George J Davies

“…# Background There is lack of consensus on which tests, particularly upper extremity functional performance tests (FPT) that should be used for clinical decision making to progress a patient through a rehabilitation program or criteria for return to sport (RTS). …”
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Emergency physician resource utilization varies by years of experience by Nathan McDonald, Peter S. Antkowiak, Ryan Burke, David T. Chiu, Bryan A. Stenson, Leon D. Sanchez

“…Abstract Objectives One of the most pivotal decisions an emergency physician (EP) makes is whether to admit or discharge a patient. …”
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