Implementation of a clinical pathway for diabetes‐related foot ulcers reduced the number of amputations and shortened hospital stay by Monica Sailer, Hilde Wergeland, Per‐Henrik Randsborg

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Identification and validation of clinical phenotypes in Staphylococcus aureus blood stream infection and their association with mortality (FEN-AUREUS cohort-based study)Research in... by Belén Gutiérrez-Gutiérrez, Belén Gallego-Mesa, Achim J. Kaasch, Matthias Riediger, Siegbert Rieg, Marta Trigo, Sonsoles Salto-Alejandre, Francisco Anguita-Santos, Ángela Cano, Andrea Prolo-Acosta, Salvador López-Cárdenas, María Teresa Pérez-Rodríguez, Francisco Javier Martínez-Marcos, Esperanza Merino-Lucas, Blanca Anaya-Baz, Ana Arizcorreta, Antonio Plata-Ciézar, Marco Piscaglia, Alexandra Aceituno, Lidia Romero-Calderón, Daniel Hornuss, Aurora Alemán-Rodríguez, Adelina Gimeno-Gascón, Esther Recacha, Julián Torre-Cisneros, Nicolás Merchante, Álvaro Pascual, Luis Eduardo López-Cortés, Jesús Rodríguez-Baño

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What is the role of artificial intelligence in general surgery? by Seung Min Baik, Ryung-Ah Lee

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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

“…This study proposes a novel hybrid model integrating Multi-Layer Perceptron (MLP) neural networks with Self-Adaptive Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) frameworks. GA handles feature selection, while PSO optimizes MLP hyperparameters (e.g., learning rate, neurons, activation functions). …”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…The results show that researchers used these algorithms in eight major RE activities. …”
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Exploring ethical frontiers of artificial intelligence in marketing by Harinder Hari, Arun Sharma, Sanjeev Verma, Rijul Chaturvedi

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Adversarial attack and defense on graph neural networks: a survey by Jinyin CHEN, Dunjie ZHANG, Guohan HUANG, Xiang LIN, Liang BAO

“…For the numerous existing adversarial attack and defense methods on GNN, the main adversarial attack and defense algorithms of GNN were reviewed comprehensively, as well as robustness analysis techniques.Besides, the commonly used benchmark datasets and evaluation metrics in the security research of GNN were introduced.In conclusion, some insights on the future research direction of adversarial attacks and the trend of development were put forward.…”
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The Scientific Landscape of Hyper-Heuristics: A Bibliometric Analysis Based on Scopus by Helen C. Peñate-Rodríguez, Gilberto Rivera, J. Patricia Sánchez-Solís, Rogelio Florencia

“…This study conducts a bibliometric analysis of the hyper-heuristic-algorithms-related literature indexed in the Scopus database to map its evolution, identify key research trends, and pinpoint influential authors and journals. …”
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Machine Learning Predictive Models for Survival in Patients with Brain Stroke by Solmaz Norouzi, Samira Ahmadi, Shayeste Alinia, Farshid Farzipoor, Azadeh Shahsavari, Ebrahim Hajizadeh, Mohammad Asghari Jafarabadi

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Exploring the use of mobile phone data for domestic tourism trip analysis by Maarten Vanhoof, Liane Hendrickx, Aare Puussaar, Gert Verstraeten, Thomas Ploetz, Zbigniew Smoreda

“…We show how temporal patterns of mobile phone use differ from baseline behaviour, how destinations of trips can algorithmically be derived, and how future research can integrate information on the activation of the social network. …”
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Revolution in flow cytometry: using artificial intelligence for data processing and interpretation by Szymon Bierzanowski, Szymon Bierzanowski, Krzysztof Pietruczuk

“…The integration of advanced AI algorithms with FC methods contributes to a better understanding and interpretation of biological data, opening up new opportunities in research and clinical diagnostics. …”
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Recent Advances in Efficient Dynamic Graph Processing by Zi Chen, Keke Liang, Long Yuan, Wenjie Zhang, Zhengyi Yang

“…We summarize the computational complexity models for dynamic algorithm analysis, theoretically compare the efficiency of algorithms among different research topics. …”
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Computer-Supported Strategic Decision Making for Ecosystems Creation by Patricia Rodriguez-Garcia, Patricia Carracedo, David Lopez-Lopez, Angel A. Juan, Jon A. Martin

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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

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EEG channels selection for stroke patients rehabilitation using equilibrium optimizer by Al-Betar Mohammed Azmi, Alyasseri Zaid Abdi Alkareem, Makhadmeh Sharif Naser

“…Stroke ranks as the second leading cause of death worldwide and is a major contributor to disability. Researchers have proposed various applications to assist in the rehabilitation of stroke patients, with brain-computer interfaces (BCIs) utilizing electroencephalograms (EEGs) showing particularly promising outcomes. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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COMPETITIVE MECHANISMS FOR FINANCING INNOVATION AND INVESTMENT PROJECTS by N. I. Komkov, A. A. Lazarev, K. I. Lugovtsev, N. V. Yakunina

“…The stages of development of methods and algorithms for the selection of projects as more is learned about the processes of research and development. …”
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The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection by Hendrik Schäfer, Nesrine Lajmi, Paolo Valente, Alessandro Pedrioli, Daniel Cigoianu, Bernhard Hoehne, Michaela Schenk, Chaohui Guo, Ruby Singhrao, Deniz Gmuer, Rezwan Ahmed, Maximilian Silchmüller, Okan Ekinci

“…In particular, we consolidate research on algorithms across diseases that imply a significant disease and economic burden, such as lung cancer, colorectal cancer, hepatocellular cancer, coronary artery disease, traumatic brain injury, sepsis, and chronic kidney disease.…”
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Assessment of flood vulnerability in a coastal metropolitan city for sustainable environmental using machine learning methods by Rana Alabdan, C. Sharmila, Nuha Alruwais, Haya Mesfer Alshahrani, S. Anbukkarasi, M. Sujatha, S. Vivek

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Advanced removal of butylparaben from aqueous solutions using magnetic molybdenum disulfide nanocomposite modified with chitosan/beta-cyclodextrin and parametric evaluation through... by Saeed Hosseinpour, Alieh Rezagholizade-shirvan, Mohammad Golaki, Amir Mohammadi, Amir Sheikhmohammadi, Zahra Atafar

“…The research examines the efficient butylparaben (BUP) elimination process from aqueous media through beta-cyclodextrin/chitosan-modified magnetic molybdenum disulfide nanocomposite (BCCMM) utilization. …”
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