Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction by Fabian Obster, Monica I. Ciolacu, Andreas Humpe

“…Further research should extend this analysis to unstructured data, explore different interpretability methods, and develop new metrics for evaluating the trade-off across diverse contexts.…”
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Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign by Tomasz Kur, Justyna Śliwińska‐Bronowicz, Malgorzata Wińska, Henryk Dobslaw, Jolanta Nastula, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Sara Bruni, Lue Chen, Mike Chin, Sujata Dhar, Robert Dill, PengShuo Duan, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Songtao Han, Robert Heinkelmann, ChengLi Huang, Christopher Irrgang, Jacek Kudrys, Jia Li, Marcin Ligas, Lintao Liu, Weitao Lu, Volker Mayer, Wei Miao, Maciej Michalczak, Sadegh Modiri, Michiel Otten, Todd Ratcliff, Shrishail Raut, Jan Saynisch‐Wagner, Matthias Schartner, Erik Schoenemann, Harald Schuh, M. Kiani Shahvandi, Benedikt Soja, Xiaoqing Su, Daniela Thaller, Maik Thomas, Guocheng Wang, Yuanwei Wu, CanCan Xu, Xueqing Xu, Xinyu Yang, Xin Zhao, Zhijin Zhou

“…This paper provides the analysis and evaluation of the polar motion predictions submitted during the 2nd EOP PCC with the prediction horizons between 10 and 30 days. …”
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Evolution and Optimization of the HALP Formula for Predicting Free Flap Failure: A Progressive Analysis of Predictive Accuracy by Gabriele Monarchi, Umberto Committeri, Massimiliano Gilli, Giovanni Salzano, Stefania Troise, Giuseppe Consorti, Roberto Benedetti, Paolo Balercia, Antonio Tullio

“…This score has emerged as a potential preoperative risk assessment tool; however, its predictive accuracy for free flap failure has not been fully evaluated. …”
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Development and validation of PRE-FRA (PREdiction of FRAilty risk in community older adults) frailty prediction model by Taiping Lin, Xiaotao Huang, Xiang Wang, Miao Dai, Jirong Yue

“…This study aimed to develop and validate a 1-year frailty onset prediction model for initially non-frailty or pre-frailty, community-dwelling older adults.MethodsWe enrolled 1,079 community-dwelling older adults aged >60 years without baseline frailty (i.e., non-frailty or pre-frailty) for the development cohort. …”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…This paper compares the interpolation effects and accuracy of Linear, Cubic, and Bicubic interpolation methods on wind speed data, with the optimal method subsequently applied to evaluate wind resources in the South China Sea for 2023. …”
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Radiographic signature in apical periodontitis improves prediction of apical lesion healing through survival prediction model. by Yuebo Liu, Ge Kong, Fantai Meng, Chunlan Guo, Kuo Wan

“…This retrospective study aimed to evaluate the effectiveness of radiographic signatures of apical periodontitis (AP), particularly lesion boundary features, in predicting lesion healing periods using survival analysis. …”
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Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship by Yonghong Wang, Mingzhang Zuo, Xiangchun He, Zhifeng Wang

“…The results showed a strong correlation between the frequency of accessing online learning resources and long-term online learning and academic performance, and a prediction model was established. The framework offers theoretical and methodological insights for designing online learning activities and evaluating learning quality. …”
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Development of the CAMUS Intra- and Postoperative Risk and Difficulty Estimation Indices Risk Prediction Tool for Estimating Peri- and Postoperative Outcomes, Including Surgical Di... by Christopher Soliman, Patrick Y. Wuethrich, Jochen Walz, Niall M. Corcoran, Nathan Lawrentschuk, Anna Walde, Marc A. Furrer

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Development and validation of novel models based on clonality immunoglobulin gene rearrangement for evaluation of bone marrow involvement and prognostic prediction in patients with... by Zelin Liu, Zelin Liu, Qianping Li, Qianping Li, Ruiqi Liu, Yangyang Ding, Yangyang Ding, Ya Liao, Ya Liao, Linhui Hu, Linhui Hu, Lianfang Pu, Lianfang Pu, Chunhua Zhu, Shenghui Zhang, Shenghui Zhang, Shudao Xiong, Shudao Xiong, Shudao Xiong

“…Adding the combination of IGR and BMB to the IPI and NCCN-IPI score may improve their predictive ability. In summary, IGR is essental for evaluation of BMI and provide an ideal method for disease staging and risk stratification in DLBCL patients in the rituximab era.…”
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Comparative analysis of convolutional neural networks and traditional machine learning models for IVF live birth prediction: a retrospective analysis of 48514 IVF cycles and an eva... by Yu Liu, Yi Wang, Kai Huang, Hao Shi, Hang Xin, Shanjun Dai, Jinhao Liu, Xinhong Yang, Jianyuan Song, Fuli Zhang, Yihong Guo

“…Feature importance and model interpretability were evaluated using SHAP.SettingFirst Hospital of Zhengzhou University.Population48,514 fresh IVF cycles from August 2009 to May 2018.MethodsPreprocessed EMR data were used to train and evaluate five classification models predicting live birth outcomes. …”
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Can the Age of Initiation of Ponseti Casting Predict the Number of Casts, Duration of Treatment, and Overall Outcomes in the Management of Idiopathic Clubfoot in Infants? A Prospec... by Ankit Khurana, Adarsh K Singh, Nandita Joshi, GP Kaushal, Jitender Saini, Himanshu Gupta, Jujhar Singh

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CYTOCHROME P450 (CYP2C9) ACTIVENESS, EVALUATED VIA LOSARTAN TEST, AS PREDICTION MARKER FOR THE WARFARIN TREATMENT DOSAGE CHOICE IN PATIENTS WITH DELAYED OUTCOMES AFTER HEART VALVES... by S. M. Arslanbekova, D. A. Sychev, K. B. Mirzaev, R. E. Kazakov, V. V. Smirnov, N. M. Magomedova, E. Z. Golukhova

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High‐grade medial femoral condyle and medial tibial plateau bone bruises predict ramp lesions of the medial meniscus in patients with anterior cruciate ligament tears: A prospectiv... by Filippo Familiari, Luke V. Tollefson, Antonio Izzo, Raffaella Russo, Michele Mercurio, Giorgio Gasparini, Robert F. LaPrade, Giovanni Di Vico

“…Abstract Purpose The purpose of this study was to evaluate potential predictive diagnostic variables on magnetic resonance imaging (MRI) for medial meniscus ramp tears in the presence of an anterior cruciate ligament (ACL) tear. …”
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Prediction of antiarrhythmic therapy effectiveness in children by L. I. Svintsova, O. Yu. Dzhaffarova, I. V. Plotnikova

“…To optimize treatment tactics in children with arrhythmias based on the evaluation and prediction of the therapy efficacy.Material and methods. …”
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A multifaceted comparative analysis of incremental dynamic and static pushover methods in bridge structural assessment, integrated with artificial neural network and genetic algori... by Ashwini Satyanarayana, V. Sindura, L. Geetha, Rakesh Kumar, Mohd Asif Shah, Mary Subaja Christo

“…The primary objective of this study is to evaluate the dependability and accuracy of SPA and IDA in predicting bridge seismic performance. …”
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Scientific basis for predicting the spread of pests by A. Fedorenko, O. Borzykh, V. Fedorenko, V. Chaika, L. Yushchenko

“…To analyze the existing theories of mass reproduction of insects, to evaluate and test the established and newest methods of monitoring and prospects for their use in modern conditions of pest spread. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…Machine learning technology can analyze patients’ historical health data and biometrics to identify high-risk individuals in a timely manner, thereby effectively predicting stroke.This paper evaluates the predictive performance Random Forest and Support Vector Machine (SVM). …”
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Robust Prediction of Wildfire Spread in Australia by Michael Palk, Katharina Knappmann, Stefan Voss, Raka Jovanovic

“…As exact computational simulations of wildfires are not feasible yet, several subtasks such as the estimation of the spread rate were analyzed with various methods in the literature. In this paper, different types of predictive models are evaluated to forecast the spread of wildfires on a daily and weekly basis in a comparative study. …”
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Laryngeal ultrasound for the prediction of severe laryngomalacia. by Arisa Duantaweesook, Vannipa Vathanophas, Kitirat Ungkanont, Archwin Tanphaichitr, Thanakrit Wannarong, Ramida Amornsitthiwat

“…LUS demonstrated diagnostic efficiency for laryngomalacia in 7 out of 19 infants, with a sensitivity of 26.92%, specificity of 100%, negative predictive value of 47.22%, and positive predictive value of 100%. …”
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Prediction of the risk of recurrence of the leprosy process by G. N. Genatullina, A. L. Yasenyavskaya, A. A. Tsibizova, M. A. Samotrueva

“…The aim of the study was to study the degree of neutrophil granulocyte myeloperoxidase activity in peripheral blood of patients with leprosy in order to predict the possible recurrence of the infectious process.Materials and methods. …”
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