Prediction of 1-year post-operative mortality in elderly patients with fragility hip fractures in China: evaluation of risk prediction models by Qiyuan Lu, Mengmeng Chen, Houfu Ling

“…Risk stratification analysis revealed SHiPS as the most precise classification system.ConclusionASAgeCoGeCC score, NHFS and Holt et al.showed acceptable predictive performance, where the first two are applicable to clinical rapid decision-making, while NHFS has been extensively external validated. …”
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Evaluating Readiness and Acceptance of Artificial Intelligence Adoption Among Elementary School Teachers by Erlan Darmawan, Titik Khawa Abdul Rahman, Nani Ronsani Thamrin

“…Artificial Intelligence (AI) is a computer system that mimics the human brain's ability to process information and make decisions. …”
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Compiling Investment Attractiveness Rating of the Largest Russian Companies Using Minimax Approach by I. Y. Vygodchikova

“…Integral rating of companies plays a leading role in making investment decisions. Research hypothesis of the minimax approach application and hierarchical data analysis will allow developing an intelligent computerized system that will perform real-time calculations and make recommendations on share distribution of investments of the largest Russian companies using a hierarchical rating procedure and minimax approach.Materials and methods. …”
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Mucosal inflammation predicts response to systemic steroids in immune checkpoint inhibitor colitis by Melissa Lumish, Ryan J. Sullivan, Douglas B. Johnson, Michael Dougan, Anita Giobbie-Hurder, Meghan J Mooradian, Daniel Y Wang, Alexandra Coromilas, Tianqi Chen

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Utility of [18F]FDG PET/CT in sarcoidosis management: A retrospective case series by Mourad Zekri, Majdouline Bel Lakhdar, Dounia Alami, Soumia Kriouile, Leila Achachi, Abdellah Achir, Hicham Harmouche, Ayat Mouaden, Hasnae Guerrouj, Imad Ghfir

“…Cardiac activity was reported in two patients. [18F]FDG PET/CT prompted a diagnostic biopsy in 32% of patients. [18F]FDG PET/CT had an impact on therapeutic decision-making in 60% of patients. Follow-up [18F]FDG PET/CT showed a complete metabolic response in two cases and an incomplete metabolic response in one patient. …”
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Dataset and multivariate statistical tools for mathematical modeling of water desorption isotherms and infrared spectral properties of cupuassu (Theobroma grandiflorum L.) pulpMend... by Andrés F. Bahamón-Monje, Paola A. García-Rincón, Gentil A. Collazos-Escobar, Claudia M. Amorocho-Cruz, Nelson Gutiérrez-Guzmán

“…This research provides valuable insights for the food industry, supporting informed decision-making in cupuassu pulp processing. By improving food-processing strategies, ensuring product consistency, and optimizing dehydration processes, this dataset contributes to the development of value-added products from cupuassu by-products, promoting sustainability and resource efficiency.…”
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Abstract 034: Value of Immediate Flat Panel Perfusion Imaging After Endovascular Therapy: A proof of concept study by Adnan Mujanovic, Christoph Kurmann, Michael Manhart, Eike Piechowiak, Sara Pilgram‐Pastor, Bettina Serrallach, Gregoire Boulouis, Thomas Meinel, David Seiffge, Simon Jung, Marcel Arnold, Thanh Nguyen, Urs Fischer, Jan Gralla, Tomas Dobrocky, Pasquale Mordasini, Johannes Kaesmacher

“…Hence, FPCTP may constitute a new standard for evaluating reperfusion efficacy and informed decision making in the angiography suite.…”
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Prediction tool for discharge disposition and 30-day readmission using electronic health records among patients hospitalized for traumatic brain injury by Tianjian Zhou, James E. Graham, Davis Davalos-DeLosh, Amartya K. Maulik, Jessica Edelstein, Amanda L. Hoffman, Haonan Wang, Deana Davalos

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Implications of machine learning techniques for prediction of motor health disorders in Saudi Arabia by Ehab M. Almetwally, I. Elbatal, Mohammed Elgarhy, Amr R. Kamel

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Dynamics of educational activity of students under the influence of digitalisation by D. Yu. Narkhov, E. N. Narkhova, D. V. Shkurin

“…The fixation of qualitative changes in educational activity in non-standard conditions, along with the development of a theoretical basis for the digital educational community of students, is necessary for making qualified managerial decisions.The aim of the present research was to identify the factors and dynamics of students as a digital educational community in the context of self-isolation and online learning.Methodology and research methods. …”
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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

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EVOLUTION OF HIGH-FREQUENCY TRADE by Ol'ga A. Grishina, Ruslan R. Iskyandyarov

“…Present day exchange trade using computer algorithm (or high frequency robots) that can make independent trade decisions and function without man’s involvement is becoming quite usual. …”
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Comparison of the application value of contrast-enhanced ultrasound and contrast-enhanced CT in puncture biopsy of peripheral pulmonary lesions by Gang Wang, Ji-cheng Zhang, Zhi-hua Wang, Bo Gou, Xiao-lin Liu, Gang Liu, Jian Liu

“…ObjectiveThis study assesses the clinical utility of contrast - enhanced ultrasound (CEUS) in comparison to contrast - enhanced computed tomography (CECT) in the context of peripheral lung mass biopsy. …”
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Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling by Chaitanya B. Pande, Pranaya Diwate, Israel R. Orimoloye, Lariyah Mohd Sidek, Arun Pratap Mishra, Kanak N. Moharir, Subodh Chandra Pal, Fahad Alshehri, Abebe Debele Tolche

“…These accurate LULC maps can aid in the development of hydrological models, forecasting, and decision-making processes, ultimately contributing to more effective water resource management and environmental conservation. …”
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Cost-Consequence Analysis of Apixaban Versus Rivaroxaban for Managing Patients with Venous Thromboembolism in Saudi Arabia by Abdulaali R. Almutairi PhD, Yazed Alruthia PhD, Majed S. Alyami PharmD, Omar A. Alshaya PharmD, Taif Z. Alanazi PharmD, Sarah I. Al Daghreer PharmD, Ghazwa B. Korayem PharmD, Sarah A. Alrasheed PharmD, Reema A. Alorf PharmD, Omar A. Almohammed PhD

“…This study's results are impactful for improving patient care and resource allocation, underscoring the pivotal role of cost-effectiveness in healthcare decision-making.…”
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Impact of the Implementation of a Trauma Center in a Level III University Hospital: A Single Center’s Experience by Annamaria Di Bella, Giovanni Alemanno, Davina Perini, Alessandro Bruscino, Gherardo Maltinti, Rosita De Vincenti, Manuela Bonizzoli, Andrea Nencioni, Michele Citone, Simone Vanni, Francesca Innocenti, Gianluca Frezzetti, Lina Bartolini, Andrea Franci, Simona Di Valvasone, Alessandra Valletta, Massimo Sangiovanni, Paolo De Biase, Rita Piovelli, Irene Cerofolini, Matteo Tomaiuolo, Paolo Prosperi

“…Purpose A trauma team (TT) is reported to improve the management and polytraumas outcome. To assess the impact on, the decision-making process in the execution of surgical and interventional procedures, trauma patient results were examined before and after TT introduction. …”
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Comparative analysis of extraperitoneal versus transabdominal cesarean sections: a meta-analysis of randomized controlled trials and systematic review by Mengmeng Jia, Guangquan Ji, Ruifang Wang, Zhen Yan, Wei Niu, Jian Chen, Juanjuan Yu

“…This analysis provides valuable insights that can guide clinical decision-making, even though there was no statistically significant difference between the two surgical approaches in terms of delivery time, operative time, neonatal weight, Apgar scores, or blood loss.…”
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Reliability Evaluation of Temnography for Early Detection of Intracranial Lesions in Mild Traumatic Brain Injury Patient: A Preliminary Report of a New Portable, Non-Invasive Devic... by Montemerani S, Fabrizi C, Sacchi C, Belperio A, Moriani L, Pacchi S, Garofalo C, Sbrana G, Venezia D, Zanobetti M, Nocentini S

“…In this context, Temnography could aid centralized decision-making in patient care.Keywords: temnography, mild traumatic brain injury, mTBI, traumatic brain injury, TBI, emergency medicine, pre-hospital…”
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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer by Xiaoyan Lu, Fan Liu, Jiahui E, Xiaoting Cai, Jingyi Yang, Xueqi Wang, Yuwei Zhang, Bingsheng Sun, Ying Liu

“…Abstract Background Accurate preoperative assessment of occult lymph node metastasis (OLNM) plays a crucial role in informing therapeutic decision-making for lung cancer patients. …”
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Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms by Kianeh Kandi, Antonio García-Dopico

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