Optimizing breast lesions diagnosis and decision-making with a deep learning fusion model integrating ultrasound and mammography: a dual-center retrospective study by Ziting Xu, Shengzhou Zhong, Yang Gao, Jiekun Huo, Weimin Xu, Weijun Huang, Xiaomei Huang, Chifa Zhang, Jianqiao Zhou, Qing Dan, Lian Li, Zhouyue Jiang, Ting Lang, Shuying Xu, Jiayin Lu, Ge Wen, Yu Zhang, Yingjia Li

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Decision tree model-based cost-effectiveness analysis of ligation for prolapsed hemorrhoids versus Ruiyun procedure for hemorrhoids for grade Ⅱ to Ⅲ prolapsed hemorrhoids by Yang Haibo, Shi Zhan, Chen Wei, Ding Peilin, Wang Jiandong

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Returns to scale in decision-making units with integer-valued or mixed inputs and integer-valued or real outputs using radial models in data envelopment analysis by Zeinab Tavassoli, Mohsen Rostami-MalKhalifeh, Farhad Hosseinzadeh Lotfi, Tofigh allahVieanloo

“…Purpose: The current paper tries to determine the type of returns to scale in a decision-making unit under the condition that integer-valued inputs or outputs are present.Methodology: This paper introduces radial models for determining the value and type of Returns to Scale (RTS) in 4 scenarios, including single integer-valued input – single real output (scenario one), mixed inputs – exclusively real outputs (scenario two), exclusively integer-valued inputs – exclusively real outputs (scenario three), and exclusively integer-valued inputs – exclusively integer-valued outputs (scenario four); in each scenario, the values of the left RTS and right RTS are determined, and the RTS type is then determined on that basis. …”
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Enhancing Stock Portfolio Selection with Trapezoidal Bipolar Fuzzy VIKOR Technique with Boruta-GA Hybrid Optimization Model: A Multicriteria Decision-Making Approach by Sunil Kumar Sharma

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The potential impact of improving appropriate treatment for fever on malaria and non-malarial febrile illness management in under-5s: a decision-tree modelling approach. by V Bhargavi Rao, David Schellenberg, Azra C Ghani

“…<h4>Discussion</h4>Modelling multi-pronged intervention strategies proved most effective to improve malaria treatment without increasing NMFI overtreatment. …”
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What Internal Factors Influence the Capacity Expansion Decisions of Family Businesses Regarding the Recycling of Animal Waste? - Model Testing Research from the Meat Industry by Kinga Nemes, Márta Konczosné Szombathelyi, Péter Kovács

“…The research verified the model and provided useful, practical examples for the utilisation of animal waste.…”
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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis by Idris Zubairu Sadiq, Babangida Sanusi Katsayal, Bashiru Ibrahim, Maryam Ibrahim, Hassan Aliyu Hassan, Umar Muhammad Ghali, Abdullahi Garba Usman, Abubakar Usman, Sani Isah Abba

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Exploring Risk Factors of Type 2 Diabetes Mellitus Using Decision Tree and Random Forest Models: Baseline Data From Kharameh Cohort Study by Maryam Jalali, Hamid Reza Niazkar, Masoumeh Ghoddusi Johari, Amir Hossein Saem, Abbas Rezaianzadeh

“…Thus, this study aimed to explore the risk factors and find the prediction model for T2DM using decision trees (DTs) and random forest (RF) models. …”
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Comparative Evaluation of Decision Tree (M5) and Least Square Support Vector Machine (LS-SVM) Models for Groundwater Level Prediction in the Mashhad Plain by Vajihe Ramezani saani, Mahdi Zarei, Seyed Morteza Seyedian

“…Based on the results of the water level simulation using the decision tree model, all scenarios were acceptable, and the scenarios 4 and 5 having the highest and lowest accuracy with coefficient of determination of 0/999 and 0/86, respectively. …”
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An algorithmic multiple attribute decision-making context to model uncertainty associated with hospital site selection problem using complex sv-neutrosophic soft information by Khuram Ali Khan, Ali Asghar, Atiqe Ur Rahman, Rostin Matendo Mabela

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An integrated quantitative method of risk analysis and decision making for safety manipulation of a forest firefighting aircraft by using physical models of multi-hazard factors by Hui Lv, Yin Gu, Rui Zhou, Pei Pei, Zhiyong Cai

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A Machine Learning Model for Predicting Breast Cancer Recurrence and Supporting Personalized Treatment Decisions Through Comprehensive Feature Selection and Explainable Ensemble Learning by Lee TF, Shiau JP, Chen CH, Yun WP, Wuu CS, Huang YJ, Yeh SA, Chen HC, Chao PJ

“…By identifying individualized recurrence risks through SHAP analysis, the model supports more precise, data-driven clinical decision-making. …”
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Choice history biases in dyadic decision making by Ann Huang, Mathis Pink, Viktoria Zemliak, Artur Czeszumski, Peter König

“…Abstract How do we interact with our environment and make decisions about the world around us? Empirical research using psychophysical tasks has demonstrated that our perceptual decisions are influenced by past choices, a phenomenon known as the “choice history bias” effect. …”
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FIRST EXPERIENCE OF PROGRAMMING A COURT DECISION

“…Objective: Consideration of the computer program model for making a lawful and well-grounded judicial act in order to reduce the times for making the court decision.Methods: universal dialectic-materialistic method, which removes the contradictions of the professional training of judges and procedural controls; the formal legal method for transferring the requirements of the law and jurisprudence for the law-enforcement activity into programs for judges and case participants; the object-oriented modeling; object-oriented programming methodology. …”
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Scenario Modeling in Health System Management Perm Region (Part 1) by Alexander N. Tsatsulin, Boris A. Tsatsulin

Subjects: “…management decision…”
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A framework for post-prognosis decision-making utilizing deep reinforcement learning considering imperfect maintenance decisions and Value of Information by P. Komninos, D. Zarouchas

“…Finally, it emphasizes the importance of decomposing uncertainty into epistemic and aleatoric to convert the total uncertainty into decision probabilities over the chosen actions, ensuring reliability and enhancing the interpretability of the DRL model.…”
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Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems by Oluwaseun Bamgboye, Xiaodong Liu, Peter Cruickshank, Qi Liu

“…Ensuring the trustworthiness of data used in real-time analytics remains a critical challenge in smart city monitoring and decision-making. This is because the traditional data validation methods are insufficient for handling the dynamic and heterogeneous nature of Internet of Things (IoT) data streams. …”
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Privacy-Preserving Clinical Decision Support for Emergency Triage Using LLMs: System Architecture and Real-World Evaluation by Alper Karamanlıoğlu, Berkan Demirel, Onur Tural, Osman Tufan Doğan, Ferda Nur Alpaslan

Subjects: “…clinical decision support…”
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Transport and mobility governance: Uncovering barriers to walking infrastructure decision-making processes in urban areas in Kenya and Malawi by Gladys Nyachieo, Theodora Ndipo Charlotte Thindwa, Anthony Bert Tasosa, Paschalin Basil, Yvonne Moseti, Joel Jere

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Calibration of Energy Simulation Models on a Building Stock Level using Actual Energy Consumption Data by Paula van den Brom, Laure Itard, Henk Visscher

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