Applied of Classification Technique in Data Mining For Credit Scoring by Heriyanto Heriyanto, Ika Kurniawati, Fachri Amsury, Muhammad Rizki Fahdia, Irwansyah Saputra, Nanang Ruhyana, Asrul

“…The results of this classification are implemented in the form of a website-based application that can be used to facilitate related parties in the credit scoring system.…”
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New Numerical Score and Stepwise Algorithm for the Classification and Management of Laryngomalacia by Ahmed Elsobki, Hemmat Baz, Reham AE Ibrahim, Menna Ibrahim Hashish, Mohamed E. El-Deeb, Noha Ahmed El-Kholy

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A New Intrauterine Adhesions Classification System: The “Loddo Score” by Alessandro Loddo, Leon Kaza, Stefania Saponara

“…This article aims to provide a comprehensive overview of the existing classifications for IUAs and introduces the Loddo scoring system, a novel approach for classifying these conditions. …”
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Feature Set to sEMG Classification Obtained With Fisher Score by Diana C. Toledo-Perez, Marcos Aviles, Roberto A. Gomez-Loenzo, Juvenal Rodriguez-Resendiz

“…The central purpose of this research is to develop and validate a methodology that uses the Fisher Score to select a set of features in the classification of sEMG signals. …”
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A graph transformer with optimized attention scores for node classification by Yu Zhang, Xin Li, Yaoqun Xu, Xitong Xu, Zhe Wang

“…Specifically, we propose an end-to-end attention score optimization loss function, designed to suppress noisy connections and enhance the connection weights between similar nodes. …”
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The evaluation of malignant astrocytoma score (MAS) by Kojadinović Željko, Vuleković Petar, Jajić Đorđe, Cigić Tomislav, Papić Vladimir, Đilvesi Đula, Horvat Igor, Karan Mladen

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Usefulness of the Kyoto Classification Score for Prediction of Current Helicobacter pylori Infection by Heejun Kang, Chul-Hyun Lim, Sukil Kim, Arum Choi, Jung-Hwan Oh

“…Conclusions: A Kyoto classification cut-off score of 2 points was suggestive of H. pylori infection, and mucosal nodularity and diffuse redness were most significantly associated with the risk of infection.…”
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Classification of FAMACHA© Scores with Support Vector Machine Algorithm from Body Condition Score and Hematological Parameters in Pelibuey Sheep by Oswaldo Margarito Torres-Chable, Cem Tırınk, Rosa Inés Parra-Cortés, Miguel Ángel Gastelum Delgado, Ignacio Vázquez Martínez, Armando Gomez-Vazquez, Aldenamar Cruz-Hernandez, Enrique Camacho-Pérez, Dany Alejandro Dzib-Cauich, Uğur Şen, Hacer Tüfekci, Lütfi Bayyurt, Hilal Tozlu Çelik, Ömer Faruk Yılmaz, Alfonso J. Chay-Canul

“…The aim of this study is to evaluate the model performance in the classification of FAMACHA© scores using Support Vector Machines (SVMs) with a focus on the estimation of the FAMACHA© scoring system used for early diagnosis and treatment management of parasitic infections. …”
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Does Weber Classification Predict Patient Reported Outcomes using PROMIS Scores? by Steven M. Hadley BA, John J. Peabody MD, Sarah Westvold MPH, Rachel Bergman MD, Shaun Chang MD, Milap Patel DO, Anish R. Kadakia MD

“…To our knowledge, no study has compared PROMIS scores between Weber subtypes. Our study thus examines whether Weber fracture subtype impacts surgical outcomes as measured by PROMIS scores. …”
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Classification of GBA1 variants and their impact on Parkinson’s disease: an in silico score analysis by Aymeric Lanore, Christelle Tesson, Aymeric Basset, François-Xavier Lejeune, Guillaume Cogan, Graziella Mangone, Sara Sambin, Nathalie Bertille, Mathieu Anheim, Isabelle Arnulf, Solène Ansquer, Jean-Philippe Brandel, Christine Brefel-Courbon, Luc Defebvre, Sophie Drapier, Alexandre Eusebsio, Margherita Fabbri, Caroline Giordana, Elodie Hainque, Stephane Lehericy, Ana Marques, Caroline Moreau, Elena Moro, Fabienne Ory, Anne-Sophie Rolland, Stéphane Thobois, Marie Vidailhet, David Devos, Louise-Laure Mariani, Suzanne Lesage, Alexis Brice, Jean-Christophe Corvol, for the Predistim study group, the Iceberg study group, the NSPark study group

“…Here, we classified GBA1 missense variants using predictive and structural scores, and analysed their associations with enzyme activity, Saposin C (SapC) interaction and PD progression in 639 patients with heterozygous GBA1 variants from five cohorts. …”
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The Relationship Between Strap Use and Classification Score in Elite Wheelchair Basketball Players by Giacomo Farì, Francesco Quarta, Sara Clelia Longo, Fernando Zappile, Laura Masiero, Giustino Varrassi, Andrea Bernetti

“…Straps used in WB vary with classification score, reflecting the influence of functional ability. …”
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Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors by Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi

“…In the experimental evaluation, we trained binary classification models to classify dementia scale scores based on the Mini-Mental State Examination (MMSE) from these datasets. …”
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Margin weighted robust discriminant score for feature selection in imbalanced gene expression classification by Sheema Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan

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Application of Hyperspectral Imaging for Watermelon Seed Classification Using Deep Learning and Scoring Mechanism by Hengnian Qi, Mengbo He, Zihong Huang, Jianfang Yan, Chu Zhang

“…In terms of full band, the ResNet model achieved a classification accuracy of 86.77% on the test set. By using characteristic bands, the GoogLeNet model achieved a classification accuracy of 83.85% on the test set. …”
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Classification and scoring systems used in diagnostics, prognosis and the treatment of proximal digestive tract bleeding by Benedeto-Stojanov Daniela, Nagorni Aleksandar, Bjelaković Goran, Petrović Gordana, Stojanov Dragan, Đenić Nebojša

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One size does not fit all in evaluating model selection scores for image classification by Nermeen Abou Baker, Uwe Handmann

“…Abstract Selecting pretrained models for image classification often involves computationally intensive finetuning. …”
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Margin weighted robust discriminant score for feature selection in imbalanced gene expression classification. by Sheema Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan

“…Conventional methods, for example, Proportional Overlap Score, Wilcoxon Rank-Sum Test, Weighted Signal to Noise Ratio, ensemble Minimum Redundancy and Maximum Relevance, Fisher Score and Robust Weighted Score for unbalanced data are impacted by key challenges, such as, class imbalance and redundancy. …”
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Predictors and classifications of the degree of severity of acute pancreatitis by A. V. Fedorov, V. N. Ektov, M. A. Khodorkovskiy

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Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

“…Weighted cognitive avoidance particle swarm optimization for the XGBoost (WCAPSO-XGB) model has been proposed for credit score classification. The structure of the XGBoost (XGB) model is determined by the hyperparameters, which must be initialized prior to model evaluation. …”
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Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…Results Our findings demonstrate that the proposed framework effectively mitigates the limitations posed by imbalanced datasets, particularly by enhancing classification performance in severe disease stages. Notably, DenseNet121 exhibited significantly superior performance compared to other backbones and achieved an additional performance gain in identifying Mayo endoscopic scores of 2 and 3 following joint-loss optimization. …”
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