Reporting and Performance of Hepatocellular Carcinoma Risk Prediction Models: Based on TRIPOD Statement and Meta-Analysis by Liuqing Yang, Qiang Wang, Tingting Cui, Jinxin Huang, Hui Jin

“…The performance of risk prediction models for hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB) was uncertain. …”
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Creating simple predictive models in ecology, conservation and environmental policy based on Bayesian belief networks by Victoria Dominguez Almela, Abigail R. Croker, Richard Stafford

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An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations by Ruohua Yan, Chen Wang, Chao Zhang, Xiaohang Liu, Dong Zhang, Xiaoxia Peng

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Adapting Machine Learning Models for Indoor Temperature Prediction from Kuwait to the French Riviera Climate by Sedaghat Ahmad, Nazififard Mohammad, Franquet Erwin, Kalbasi Rasool, Mostafaeipour Ali

“…A total of nineteen regression (ML) models are examined. The Matern 5/2 Gaussian process regression model has done somewhat better at modeling interior temperature; all models are shown to function well. …”
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Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia by Caitlin A. Finney, David A. Brown, Artur Shvetcov

“…Abstract Existing dementia prediction models using non-neuroimaging clinical measures have been limited in their ability to identify disease. …”
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Large language models predict cognition and education close to or better than genomics or expert assessment by Tobias Wolfram

“…These findings show that recent advances in large language models and machine learning equip behavioural scientists with tools for prediction of psycho-social features.…”
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Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes by Lanjuan Xu, Tingting An, Chengjian Li, Xin Shi, Bo Yang

“…To assess the effect of adding coagulation indices to the currently existing prognostic prediction models of traumatic brain injury (TBI) in the prediction of outcome. …”
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From Prediction to Explanation: Using Explainable AI to Understand Satellite-Based Riot Forecasting Models by Scott Warnke, Daniel Runfola

“…This study investigates the application of explainable AI (XAI) techniques to understand the deep learning models used for predicting urban conflict from satellite imagery. …”
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COMPARISON LINEAR REGRESSION AND RANDOM FOREST MODELS FOR PREDICTION OF UNDERGROUND DROUGHT LEVELS IN FOREST FIRES by Nur Alamsyah, Budiman Budiman, Titan Parama Yoga, R Yadi Rakhman Alamsyah

“…This research aims to develop a prediction model for underground drought levels in the context of forest fires using machine learning techniques. …”
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Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study by Ana P. Millán, Elisabeth C. W. van Straaten, Cornelis J. Stam, Ida A. Nissen, Sander Idema, Piet Van Mieghem, Arjan Hillebrand

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Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study by Rafael Aredes Couto, Igor Augusto Guimarães Campos, Elvys Dias Reis, Daniel Hasan Dalip, Flávia Spitale Jacques Poggiali, Péter Ludvig

“…Moreover, this study reinforces the strategic value of synthetic datasets in developing predictive models when experimental data collection is time-consuming or impractical. …”
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Yield Prediction Models for Rice Varieties Using UAV Multispectral Imagery in the Amazon Lowlands of Peru by Diego Goigochea-Pinchi, Maikol Justino-Pinedo, Sergio S. Vega-Herrera, Martín Sanchez-Ojanasta, Roiser H. Lobato-Galvez, Manuel D. Santillan-Gonzales, Jorge J. Ganoza-Roncal, Zoila L. Ore-Aquino, Alex I. Agurto-Piñarreta

“…The prediction models by variety showed the best performance for Esperanza at 88 DAS (adjusted-R² = 0.94) using EVI as the vegetation index. …”
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PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models by Jun Xie, Youli Zhang, Ziyang Wang, Xiaocheng Jin, Xiaoli Lu, Shengxiang Ge, Xiaoping Min

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Systematic review and meta-analysis of cardiovascular event risk prediction models in maintenance hemodialysis patients by Yaping Zhou, Yining He, Peiqi Zhu, Ruxue Yan, Ruijie Tang, Lanhui Wang, Weiming He

“…Abstract This research pursues a systematic review and meta-analysis concerning the cardiovascular event risk prediction models for maintenance hemodialysis patients. …”
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Global research trends and hotspots in prognostic prediction models for pancreatic cancer: a bibliometric analysis by Siyuan Ouyang, Jing Zhang, Fuyao Liu, Qi Jiang, Wei Xing, Jie Chen, Jinggang Zhang

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Supervised fine-tuning of pre-trained antibody language models improves antigen specificity prediction. by Meng Wang, Jonathan Patsenker, Henry Li, Yuval Kluger, Steven H Kleinstein

“…We perform supervised fine-tuning on four pre-trained antibody language models to predict specificity to these antigens and demonstrate that fine-tuned language model classifiers exhibit enhanced predictive accuracy compared to classifiers trained on pre-trained model embeddings. …”
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Risk factors and clinical prediction models for osteoporosis in pre-dialysis chronic kidney disease patients by Chaoying Kuang, Jingjie Shang, Mingming Ma, Shengling Huang, Bing Yan, Yuzhen Zhong, Baozhang Guan, Jian Gong, Fanna Liu, Liangmei Chen

“…The nomogram clinical prediction models we constructed may aid in the rapid screening of patients at high risk of osteoporosis.…”
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Determinants and risk prediction models for frailty among community-living older adults in eastern China by Lin Qi, Lin Qi, Jianyu Liu, Xuhui Song, Xinle Wang, Mengmeng Yang, Xinyi Cao, Yan He

“…ObjectiveThe purpose of this study is to develop predictive models for frailty risk among community-dwelling older adults in eastern China using machine learning techniques. …”
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Deep learning based predictive models for real time accident prevention in autonomous vehicle networks by Ahmed Almutairi, Abdullah Faiz Al Asmari, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

“…Within the realm of autonomous vehicle networks, this study presents an innovative accident prediction and prevention model that is referred to as A-LAPPM (Attention-based Long- and Short-Term Memory Autoencoder). …”
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Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms. by Huu Nam Nguyen, Quoc Thanh Tran, Canh Tung Ngo, Duc Dam Nguyen, Van Quan Tran

“…The results show that the CatBoost model emerges as the frontrunner in predicting solar energy, with training values of R2 value of 0.608, RMSE of 4.478 W and MAE of 3.367 W and the testing value is R2 of 0.46, RMSE of 4.748 W and MAE of 3.583 W. …”
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