Conciliating accuracy and efficiency to empower engineering based on performance: a short journey by Chinesta, Francisco, Cueto, Elias

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A customized ensemble machine learning approach: predicting students’ exam performance by Rasel Ahmed, Nafiz Fahad, Md Saef Ullah Miah, Kah Ong Michael Goh, Mufti Mahmud, M. Mostafizur Rahman

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Exploring explainable machine learning algorithms to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023 by Mequannent Sharew Melaku, Nebebe Demis Baykemagn, Lamrot Yohannes, Adem Tsegaw Zegeye

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Assessment of synergy-assisted EMG-driven NMSK model for upper limb muscle activation prediction in cross-country sit-skiing double poling by Xue Chen, Zhongxue Yuan, Xianzhi Gao, Yanxin Zhang, Chenglin Liu, Bo Huo, Bo Huo

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Network relationship analysis of the influencing factors and disease risk prediction for hyperlipidemia in the elderly population of Henan province based on a Bayesian network mode... by Wenjuan WANG, Hongji ZENG, Yahui LIU, Shufan WEI, Rui WANG, Qingfeng TIAN

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Predicting the Attraction and Retention of Customers in Sports Pools in Isfahan City Using a Decision Tree: Presenting a Data Mining-Based Model by Seyed Masoud Mirsaeidi, Davood Nasr Esfahani

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Blended learning as a form of language education for university students by Ludmila Yu. Kaplina, Arina V. Banartseva

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The Predictive Power of Level of Education, Personal Relation, Stress Resilience, and Welfare on Officers’ Performance in the Work Environment by Toni Toni, Haliansyah Haliansyah

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Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. by Anneka Hooft, Christian Umuhoza, Jessica Trawin, Cynthia Mfuranziza, Emmanuel Uwiragiye, Cherri Zhang, Vuong Nguyen, Aaron Kornblith, Nathan Kenya Mugisha, J Mark Ansermino, Matthew O Wiens

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Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care. by Ali Fahmi, Victoria Palin, Xiaomin Zhong, Ya-Ting Yang, Simon Watts, Darren M Ashcroft, Ben Goldacre, Brian MacKenna, Louis Fisher, Jon Massey, Amir Mehrkar, Seb Bacon, OpenSAFELY Collaborative, Kieran Hand, Tjeerd Pieter van Staa

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Development of prediction models of COVID-19 vaccine uptake among Lebanese and Syrians in a district of Beirut, Lebanon: a population-based study by Hala Ghattas, Jocelyn Dejong, Fadi El-Jardali, Stephen J McCall, Marie-Elizabeth Ragi, Aline Germani, Hazar Shamas, Nada M Melhem

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The predictive power of teaching self-efficacy and emotion regulation on work engagement for EFL teachers in higher education by Yan Wang, Lin He, Qing-Yi Wang

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Development and validation of an improved prediction model for vaginal birth after previous cesarean section: a retrospective cohort study of a Chinese population by Haiyan Liu, Yi Yu, Xiaoyue Zhang, Jiangnan Pei, Yao Tang, Rong Hu, Weirong Gu

“…Internal validation performed by bootstrap resampling, calibration curves, and Hosmer-Lemeshow test confirmed the model’s robust performance. An optimal predicted probability cut-off of 0.7 was identified by decision curve analysis and clinical considerations.Conclusions The improved predictive VBAC model exhibited adequate performance such that women with a prior low transverse cesarean delivery who scored 0.7 or higher (in the model-derived probability score) would consider TOLAC, potentially leading to a reduction in maternal-neonatal morbidity.Registration The study was approved by the Ethical Committee of Obstetrics and Gynecology Hospital, Fudan University (2018-43) and was registered in the Chinese Clinical Trial Registry (ChiCTR1900022484), https://www.chictr.org.cn/showproj.html?…”
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Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT by Fei Yao, Heng Lin, Ying-Nan Xue, Yuan-Di Zhuang, Shu-Ying Bian, Ya-Yun Zhang, Yun-Jun Yang, Ke-Hua Pan

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Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control by Ricardo Felez, Jesus Felez

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A KNN-based model for non-invasive prediction of hemorrhagic shock severity in prehospital settings: integrating MAP, PBUCO2, PTCO2, and PPV by Peng Zhao, Wencai Pan, Xin Zou, Jiaqing Yang, Shihui Zhang, Yufei Liu, Yang Li

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Development of a Prediction Model and Risk Score for Self-Assessment and High-Risk Population Identification in Liver Cancer Screening: Prospective Cohort Study by Xue Li, Youqing Wang, Huizhang Li, Le Wang, Juan Zhu, Chen Yang, Lingbin Du

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Predictive analytics of student performance: Multi-method and code by Alla Yu. Vladova, Katsiaryna M. Borchyk

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IMPROVEMENT OF EDUCATIONAL COGNITIVE ACTIVITY STUDENTS IN THE PROFESSIONAL EDUCATIONAL ORGANIZATION ON THE BASIS OF VISUALIZATION TECHNOLOGY OF EDUCATIONAL INFORMATION by Liliya A. Kolmakova

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Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol fro... by Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach

“…Most of these features include goal setting, decision cards to help decide on an intervention, intervention monitoring, remote communication, and education, all accessible from one dashboard. A practice nurse or physician consults the individuals after risk calculation with the clinical prediction model and uses behavior change features, such as the decision cards, to support shared decision-making. …”
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