Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression by Idris Zubairu Sadiq, Fatima Sadiq Abubakar, Muhammad Auwal Saliu, Babangida Sanusi katsayal, Aliyu Salihu, Aliyu Muhammad

“…Results The results showed that random forest regression outperformed both boosting and decision tree regression, recording the lowest error criteria (MSE = 0.071 and RMSE = 0.266) for evaluating the model. …”
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Mapping, Modeling and Designing a Marble Quarry Using Integrated Electric Resistivity Tomography and Unmanned Aerial Vehicles: A Study of Adaptive Decision-Making by Zahid Hussain, Hanan ud Din Haider, Jiajie Li, Zhengxing Yu, Jianxin Fu, Siqi Zhang, Sitao Zhu, Wen Ni, Michael Hitch

“…To address this issue, an innovative approach is initiated to develop a virtual reality model by integrating unmanned aerial vehicle (UAV) photogrammetry for surface modeling and Electric Resistivity Tomography (ERT) for subsurface deposit imaging. …”
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Genotype–phenotype correlations in inherited cardiomyopathies, their role in clinical decision-making, and implications in personalized cardiac medicine in multi-omics as well as disease modeling eras by Yaqob Samir Taleb, Paras Memon, Aftab Jalbani, Nawaf Al-Anazi, Abdulkareem Al-Garni, Muneera Altaweel, Muhammad Aamir Khan, Muhammad Farooq Sabar, Zafar Iqbal

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WCN24-2594 Computational Modeling Towards Characterization of Pulse Wave Velocity in an Argentine Dialysis Cohort — Foundations for Potential Clinical Decision Support System by Cintia Galli, Parag Chatterjee, Leandro Cymberknop, Eugenia Ipar, Ricardo Armentano, Sebastian Boubee, Denise Pareded, Vallve Cristina, Gonzalo Garcia

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Artificial Intelligence in the New Era of Decision-Making: A Case Study of the Euro Stoxx 50 by Javier Parra-Domínguez, Laura Sanz-Martín

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Assessing sustainability of smart last mile delivery: a simulation-based decision support tool by Maria Grazia Gnoni, Lorenzo Rubrichi, Fabiana Tornese

“…By leveraging advanced simulation models, the proposed tool allows to estimate these impacts under varying operational conditions, providing a comprehensive framework for decision-making the LML field by comparing traditional versus innovative LML services. …”
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Quantitative structure property relationship and multiattribute decision analysis of antianginal drugs using topological indices by Muhammad Waheed Rasheed, Abid Mahboob, Ali Ovais, Nimra Shabbir, Abdu Alameri

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Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza by Jeremiah S. Hinson, Xihan Zhao, Eili Klein, Oluwakemi Badaki‐Makun, Richard Rothman, Martin Copenhaver, Aria Smith, Katherine Fenstermacher, Matthew Toerper, Andrew Pekosz, Scott Levin

“…Methods We developed random forest machine learning (ML) models to estimate needs for critical care within 24 h and inpatient care within 72 h in ED patients with influenza. …”
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Male circumcision for HIV prevention in high HIV prevalence settings: what can mathematical modelling contribute to informed decision making? by UNAIDS/WHO/SACEMA Expert Group on Modelling the Impact and Cost of Male Circumcision for HIV Prevention

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Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid by Huibert Burger, Henk van der Worp, Marco H Blanker, Marjolein Y Berger, Anne Martina Maria Loohuis, Nienke Wessels, Janny Dekker, Alec GGA Malmberg

“…Objective To develop a prediction model and illustrate the practical potential of personalisation of treatment decisions between app-based treatment and care as usual for urinary incontinence (UI).Design A prediction model study using data from a pragmatic, randomised controlled, non-inferiority trial.Setting Dutch primary care from 2015, with social media included from 2017. …”
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Stock Market Prediction Based Multi-Attribute Decision Making Model Using Picture Fuzzy $${\hat{Z}}$$ Z ^ -Information by Shahzaib Ashraf, Amna Khalid, Bushra Batool, Mehdi Tlija, Chiranjibe Jana, Dragan Pamucar

“…This integration is to enhance the ability of the model to address completely unclear decisions utilizing the peculiarities of $${\hat{Z}}$$ Z ^ -numbers. …”
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Predicting major amputation risk in diabetic foot ulcers using comparative machine learning models for enhanced clinical decision-making by Zixuan Liu, Dehua Wei, Jiangning Wang, Lei Gao

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Public Opinion Risk Early Warning Model on Government-Citizen Interaction Data: A Perspective on Evidence-based Decision Making by ZHANG Liman, WU Yueting, CHENG Wenjing, LIU Tianyi, SUN Xinxin

“…[Purpose/Significance] The study aims to construct an early warning model of public opinion risks based on government-citizen interaction data, guided by evidence-based decision-making theory. …”
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Konstruktivisme Model Pembelajaran Kognitif Moral Melalui Aplikasi “Dimo” Untuk Meningkatkan Kemampuan Moral Decision Siswa Sekolah Dasar by Aiman Faiz, Aris Fadly

“…Research to see the improvement of elementary school students' moral decisions through the cognitive moral development model assisted by the "Dimo" application on an Android smartphone. …”
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Decision Support Model for User Submission Approval Energy Partners Candidate Using Profile Matching Method and Analytical Hierarchy Process by Moedjiono Moedjiono

Subjects: “…Decision Support Model, recruitment, outsourcing, Analytical Hierarchy Process, Profile Matching…”
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Impact of serum TRAb level changes on the efficacy of 131I therapy in Graves’ disease: a decision tree prediction model by Ziyu Ma, Nan Liu, Yiwang Du, Xuan Wang, Xue Li, Shasha Hou, Zhaowei Meng, Jian Tan, Wei Zheng

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A proposed framework for the development and qualitative evaluation of West Nile virus models and their application to local public health decision-making. by Alexander C Keyel, Morgan E Gorris, Ilia Rochlin, Johnny A Uelmen, Luis F Chaves, Gabriel L Hamer, Imelda K Moise, Marta Shocket, A Marm Kilpatrick, Nicholas B DeFelice, Justin K Davis, Eliza Little, Patrick Irwin, Andrew J Tyre, Kelly Helm Smith, Chris L Fredregill, Oliver Elison Timm, Karen M Holcomb, Michael C Wimberly, Matthew J Ward, Christopher M Barker, Charlotte G Rhodes, Rebecca L Smith

“…We further recommend quantifying the value of information for each decision to identify decisions that would benefit most from model input.…”
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Development and Validation of a Non-Invasive Prediction Model for Glioma-Associated Epilepsy: A Comparative Analysis of Nomogram and Decision Tree by Zhong Z, Yu HF, Tong Y, Li J

“…In addition, DCA analysis showed that in machine learning prediction models, decision trees have higher overall net returns within the threshold probability range.Conclusion: We have introduced a machine learning prediction model for GAE detection in glioma patients based on multiomics data. …”
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Analisis Loyalitas Pelanggan Berbasis Model Recency, Frequency, dan Monetary (RFM) dan Decision Tree pada PT. Solo by Basri Basri, Windu Gata, Risnandar Risnandar

“…Penelitian ini mengusulkan model Recency, Frequency, dan Monetary (RFM) yang dikombinasikan dengan Decision Tree. …”
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Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control by Zheng Qi, Nan Zhou, Xianwei Feng, Sama Abdolhosseinzadeh

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