The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting by A.C. Goulart, A.P. Alencar, G. Tunes, L.L.T. Bianchi, M.H. Miname, C.M. Padilha, J.M.S. Pescuma, A.L.C.C. Rodrigues, B.B. Henares, M.S. de Almeida, T.A.O. Machado, D.H. Syllos, Y.P. Wang, M. Rienzo

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Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities by Ricardo Gonzalez, Ashirbani Saha, Clinton J.V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan

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Modelling and using a pattern language to inform land-use change decisions in rural Mooiplaas, Great Kei Municipality, South Africa by Ronald Eglin, Philani Moyo

“…In this process, municipalities and communities make decisions to change land use, taking into account the extent to which these decisions respond to the ever-changing context and aid the vision for the area to emerge. …”
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QMIX-GNN: A Graph Neural Network-Based Heterogeneous Multi-Agent Reinforcement Learning Model for Improved Collaboration and Decision-Making by Taiyin Zhao, Tian Chen, Bing Zhang

“…In turn, this allows them to perceive more comprehensive information and improve the correctness of their decisions. Experimental results demonstrate that the QMIX-GNN model performs better than other methods on complex multi-agent collaborative tasks.…”
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Cost-effectiveness of advanced life support and prehospital critical care for out-of-hospital cardiac arrest in England: a decision analysis model by Jonathan Richard Benger, Jane Powell, Johannes von Vopelius-Feldt

“…Setting A single National Health Service ambulance service and a charity-funded prehospital critical care service in England.Participants The patient population is adult, non-traumatic OHCA.Methods We combined data from previously published research with data provided by a regional ambulance service and air ambulance charity to create a decision tree model, coupled with a Markov model, of costs and outcomes following OHCA. …”
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Evaluation of underground hard rock mine pillar stability using gene expression programming and decision tree‐support vector machine models by Mohammad H. Kadkhodaei, Ebrahim Ghasemi, Jian Zhou, Melika Zahraei

“…This study mainly focuses on developing two practical models to predict pillar stability status. For this purpose, two robust models were developed using a database including 236 case histories from seven underground hard rock mines, based on gene expression programming (GEP) and decision tree‐support vector machine (DT‐SVM) hybrid algorithms. …”
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A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support by Alexandre Hudon, Alexandre Hudon, Alexandre Hudon, Alexandre Hudon

“…BackgroundDecisions surrounding involuntary psychiatric treatment orders often involve complex clinical, legal, and ethical considerations, especially when patients lack decisional capacity and refuse treatment. …”
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Evaluation of large language models in patient education and clinical decision support for rotator cuff injury: a two-phase benchmarking study by Yi-Lin Wang, Li-Chao Tian, Jing-Yuan Meng, Jie-Chao Zhang, Zhi-Xing Nie, Wen-Rui Wei, Dao-fang Ding, Xiao-Ye Tang, Qian Zhang, Yong He

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AI-Based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities With Spherical Fuzzy Decision Algorithm by Lin Yang

“…These models classify buildings based on energy consumption patterns, predicting energy needs and identifying areas for improvement. …”
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A Multi-Objective Decision Making Model Based on Goal Programming and Fuzzy AHP Approach for Selecting Investment Projects in Mining Sector by Hadi Mokhtari, Abbas Eftekhari, Mohammad Javadi

“…In mining projects, due to capital constraints and need for high initial investment, prioritizing the investments is one of the most important decisions that should be taken by the managers. Various parameters have effect on this decision which some of them are in conflict with each other. …”
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Investment Priorities in the Industrial Sector of East Azerbaijan Province with a view to Sustainable Development: Application of Multi-Criteria Decision-Making Models by Sakineh Sojoodi, Arezoo Asadian, Mahdi Saeid

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Integrating KEMIRA with Interval-Valued Neutrosophic Numbers to Assess University English Teaching Quality: A Multi-Attribute Decision-Making Model by Li Ding

“…Key contributions include extending the KEMIRA model to INSs, determining attribute weights using the average method, and applying INN-KEMIRA to complex MADM problems. …”
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A Decision-Making Model for Autonomous Vehicles Considering Pedestrian’s Time Pressure Based on Game Theory and Reinforcement Learning by Qing-Feng Lin, Heng-Yu Xue, Yang Lyu, Qing-Kun Li, Ju-Shang Ou

“…Therefore, this paper proposed a vehicle decision-making model considering pedestrian intention based on game theory and reinforcement learning (RL). …”
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Structural health monitoring of railway truss bridge under moving train load using decision tree models and residual neural networks by Sharan Kumar Sunchikala, S. C. Mohan, Sai Dheeraj Gopala, P. Swetha

“…By utilizing measured vibration responses under train load, the technique employs wavelets, Fourier transforms, and spectrograms to extract damage-induced changes in signals for training various machine learning models, including decision trees and residual neural networks. …”
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Supply Chain Decision Model Based on Blockchain: A Case Study of Fresh Food E-Commerce Supply Chain Performance Improvement by Zi-Yu Liu, Peng-Tao Guo

“…Results can offer a theoretical guidance for producer and retailer in investing in BIP, pricing decision, and supply chain coordination after applying BIP.…”
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Application of a Multicriteria Decision Model for the Selection of Conversion Pathways for Biofuel Production and Management in a Medium-Sized Municipality in the State of Paraná by Cláudia Abe Gargel Luengo, Saulo Fabiano Amâncio-Vieira, Reginaldo Fidelis, Eduardo Augusto do Rosário Contani

“…This analysis revealed a research gap related to biogas, energy generation, and the application of multicriteria decision-making methods. This study aims to contribute to filling this gap through the application of a multicriteria model designed to assist public decision-makers in selecting among three conversion pathways for biogas and biofuel production: pyrolysis, covered lagoon biodigester, and continuous stirred-tank reactor (CSTR) biodigester. …”
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Estimating the Compressive Strength of Cement-Based Materials with Mining Waste Using Support Vector Machine, Decision Tree, and Random Forest Models by Hongxia Ma, Jiandong Liu, Jia Zhang, Jiandong Huang

“…The support vector machine (SVM), decision tree (DT), and random forest (RF) models were developed and compared. …”
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Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems by Dmitrii Popov, Egor Terentev, Danil Serenko, Ilya Sochenkov, Igor Buyanov

“…The decision-making process to rule R&D relies on information related to current trends in particular research areas. …”
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Analyzing New Quality Productive Forces in New Energy Vehicle Companies Based on a New Multi-Criteria Decision Analysis Model by Guozhen Hua, Fanlong Zeng, Huaping Sun

“…This paper systematically evaluated and analyzed the NQPF of Chinese listed NEV companies from 2018 to 2022 using a novel multi-criteria decision analysis (MCDA) model. To address limitations in traditional MCDA models, such as unbalanced weight distribution, insufficient ranking differentiation, and incomplete identification of key influencing factors, this study introduced a new model, IDOCRIW-PROBID (integrated determination of objective criteria weights—preference ranking on the basis of ideal-average distance). …”
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Optimization of teaching quality of college physical education by using decision making technique under complex interval valued fermatean fuzzy model by Duo Huang, Yangjun Liu

“…This paper develops a new decision-making framework to enhance the quality of college PE teaching through a Complex Interval-Valued Fermatean Fuzzy Dombi Aggregation (CIVFFDA) Operator. …”
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