Evaluating the Progress of the EU Countries Towards Implementation of the European Green Deal: A Multiple Criteria Approach by Giovanni Ottomano Palmisano, Lucia Rocchi, Lorenzo Negri, Lea Piscitelli

“…It is thus evident that holistic and scientifically sound decision support systems are crucial to help EU policymakers and stakeholders in monitoring the progress of countries towards the implementation of the EGD. …”
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Understanding integrative approach of translational bioinformatics on cardiovascular disease: Myocardial Ischemia by Yeswanth Ranganathan, Saayaa Nazar, Ravi Shankar Krishnan, Yuvaraj Dinakarkumar, Vijayalakshmi Varadarajan, Lenita Sebastian, Brindha Rethinam

“…Additionally, it examines the application of systems biology and network analysis to understand biological networks, and the use of clinical decision support systems to enhance patient care. This integrative approach demonstrates the potential of bioinformatics to improve cardiovascular health outcomes. …”
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Mode Optimization and Rule Management of Intellectual Property Rights Protection of Educational Resource Data Based on Machine Learning Algorithm by Jiawei Cao

“…The results show that the machine learning technology can build a subject-oriented, highly integrated, and time-changing educational resource data storage environment; the comprehensive, analysis-oriented decision-supporting system formed by machine learning can give full play to the potential role of data integration and value discovery and is therefore of great significance for the intellectual property expression and protection of integrated and complexly-related educational resource data. …”
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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

“…This stacking integration model offers significant potential for healthcare decision support systems with high accuracy, F1 score, and receiver operating characteristic area under the curve (ROC AUC), along with reduced training times. …”
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Application of large language models in disease diagnosis and treatment by Xintian Yang, Tongxin Li, Qin Su, Yaling Liu, Chenxi Kang, Yong Lyu, Lina Zhao, Yongzhan Nie, Yanglin Pan, Yuanyuan Ji

“…These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. …”
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Monitoring Yield and Quality of Forages and Grassland in the View of Precision Agriculture Applications—A Review by Abid Ali, Hans-Peter Kaul

“…The review provides an overview about mass flow and impact sensors, moisture sensors, remote sensing-based approaches, near-infrared (NIR) spectroscopy, and mapping field heterogeneity and promotes decision support systems (DSSs) in this field. At a small scale, advanced sensors such as optical, thermal, and radar sensors mountable on drones; LiDAR (Light Detection and Ranging); and hyperspectral imaging techniques can be used for assessing plant and soil characteristics. …”
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Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications by Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, Santosh Kumar

“…By examining current applications and case studies of FL in healthcare, we highlight its potential benefits, including enhanced privacy protection and more effective decision support systems. Our findings demonstrate that FL can significantly improve pandemic response times and accuracy. …”
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The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review by Ninel Iacobus Antonie, Gina Gheorghe, Vlad Alexandru Ionescu, Loredana-Crista Tiucă, Camelia Cristina Diaconu

“…The review focused on research discussing AI-based chatbots, antibiotic stewardship, and clinical decision support systems. Studies were evaluated for methodological soundness and significance, and the findings were synthesized narratively. …”
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pyAKI-An open source solution to automated acute kidney injury classification. by Christian Porschen, Jan Ernsting, Paul Brauckmann, Raphael Weiss, Till Würdemann, Hendrik Booke, Wida Amini, Ludwig Maidowski, Benjamin Risse, Tim Hahn, Thilo von Groote

“…The pipeline's high accuracy make it a valuable tool for clinical research and decision support systems.<h4>Conclusion</h4>This work introduces pyAKI as an open-source solution for implementing the KDIGO criteria for AKI diagnosis using time series data with high accuracy and performance.…”
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Capacity Factor Forecasting for Generation Facilities Based on Renewable Energy Sources in Decentralized Power Systems by A. M. Bramm, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…Therefore, it is possible to use the developed algorithm and model both in decision support systems when choosing the location of this types of power plants, and in systems that model the development of power systems using a multi-agent approach.…”
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Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support by John W. Makokha, Peter W. Barasa, Geoffrey W. Khamala

“…Moreover, its integration into larger decision support systems allows for proactive interventions to mitigate land degradation and climate change stressors. …”
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Drought before fire increases tree mortality after fire by C. Alina Cansler, Micah C. Wright, Phillip J. vanMantgem, Timothy M. Shearman, J. Morgan Varner, Sharon M. Hood

“…Models predicting post‐fire tree mortality are components of global and regional carbon estimates, habitat suitability assessments, and forest management planning and decision support systems. The amplifying effects of drought on post‐fire tree mortality and predicted future climates are likely to lead to higher tree mortality following fires in forested landscapes of western North America and may have cascading effects on ecosystem services and future forest resilience.…”
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Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

“…However, in recent years, artificial intelligence-based decision support systems have been employed to make highly accurate diagnoses. …”
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Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013&#x2013;2024) by Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

“…The aim of this systematic review is to present a complete overview of the applications of artificial intelligence (AI) techniques with IRT imaging for medical decision support systems over the course of the last ten years (2013&#x2013;2024). …”
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Hybrid Plant Growth: Integrating Stochastic, Empirical, and Optimization Models with Machine Learning for Controlled Environment Agriculture by Nezha Kharraz, István Szabó

“…The hybrid model’s adaptability in the future may offer scalability to diverse crop types and environmental settings, establishing a foundation for its integration into decision-support systems for large-scale indoor farming.…”
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Effect of Artificial Intelligence Helpfulness and Uncertainty on Cognitive Interactions with Pharmacists: Randomized Controlled Trial by Chuan-Ching Tsai, Jin Yong Kim, Qiyuan Chen, Brigid Rowell, X Jessie Yang, Raed Kontar, Megan Whitaker, Corey Lester

“… BackgroundClinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. …”
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The Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot Study by Madhu Prita Prakash, Aravinda Thiagalingam

“… Abstract BackgroundComputerized clinical decision support systems (CDSS) are increasingly being used in clinical practice to improve health care delivery. …”
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Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis by Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…Given the widespread use of ultrasonography in diagnosing malignant LNs in cancer patients, there is significant potential for integrating AI-based decision support systems into clinical practice to enhance the diagnostic accuracy.…”
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Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders by Upeka De Silva, Samaneh Madanian, Sharon Olsen, John Michael Templeton, Christian Poellabauer, Sandra L Schneider, Ajit Narayanan, Rahmina Rubaiat

“…Increasing efforts are being made to develop speech-based clinical decision support systems. ObjectiveThis systematic scoping review investigated the technological revolution and recent digital clinical speech signal analysis trends to understand the key concepts and research processes from clinical and technical perspectives. …”
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Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study by Yannik Terhorst, Eva-Maria Messner, Kennedy Opoku Asare, Christian Montag, Christopher Kannen, Harald Baumeister

“…Although these could become important parts of clinical decision support systems for depression diagnostics and treatment in the future, confirmatory studies are needed before they can be applied to routine care. …”
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