Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity by Rafael Perera, Marjan Van Den Akker, Kym I E Snell, Joerg J Meerpohl, Ferdinand M Gerlach, Daniela Küllenberg de Gaudry, Ana Isabel González-González, Jeanet Blom, Christiane Muth, Walter Emil Haefeli, Karin M A Swart, Petra Elders, Henrik Rudolf, Ulrich Thiem, Andreas Daniel Meid, Truc Sophia Dinh, Donna Bosch-Lenders, Hans J Trampisch, Benno Flaig, Ghainsom Kom

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Innovative nomogram for cervical cancer prediction: integrating high-risk HPV infection, p53 genotype, and blood routine parameters by Cheng Sun, Jun Zhang, Lili Pan, Shuang Yao, Fenghua Zhang, Linjuan Ji, Miaomei Yu, Guanghua Luo, Guanghua Luo, Xiping Jiang

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Machine learning-based prognostic prediction for acute ischemic stroke using whole-brain and infarct multi-PLD ASL radiomics by Zhenyu Wang, Chaojun Jiang, Xianxian Zhang, Tianchi Mu, Qingqing Li, Shu Wang, Congsong Dong, Yuan Shen, Zhenyu Dai, Fei Chen

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Prediction of prognosis of immune checkpoint inhibitors combined with anti-angiogenic agents for unresectable hepatocellular carcinoma by machine learning-based radiomics by Xuni Xu, Xue Jiang, Haoran Jiang, Xiaoye Yuan, Mengjing Zhao, Yuqi Wang, Gang Chen, Gang Li, Yuxia Duan

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Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction by Zhibo Wang, Ling Zhu, Shunli Liu, Dalue Li, Jingnong Liu, Xiaoming Zhou, Yuxi Wang, Ruiqing Liu

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FUSE-Net: Multi-Scale CNN for NIR Band Prediction from RGB Using GNDVI-Guided Green Channel Enhancement by Gwanghyeong Lee, Deepak Ghimire, Donghoon Kim, Sewoon Cho, Byoungjun Kim, Sunghwan Jeong

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SHAP-enhanced interpretive MGTWR-CNN-BILSTM-AM framework for predicting surface subsidence: a case study of Shanghai municipality by Long Wen-Jiang, Yu Xue-Xiang, Zhu Ming-Fei, Xue Li, Zhang Guang-Hui, Wang Lin-Lin

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Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery by Sahameh Shafiee, Osval A. Montesinos‐López, José Crossa, Ingunn Burud, Jon Arne Dieseth, Muath Alsheikh, Morten Lillemo

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Air quality prediction-based big data analytics using hebbian concordance and attention-based long short-term memory by Sathishkumar Sekar, Zhang Wei

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High-accuracy PM2.5 prediction via mutual information filtering and Bayesian-Optimized Spatio-Temporal Convolutional Networks by Wanyu Wang

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Blood Glucose Concentration Prediction Based on Double Decomposition and Deep Extreme Learning Machine Optimized by Nonlinear Marine Predator Algorithm by Yang Shen, Deyi Li, Wenbo Wang, Xu Dong

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Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework by Rajaperumal T. A, Christopher Columbus Chinnappan

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Logjams With a Lower Gap: Backwater Rise and Flow Distribution Beneath and Through Logjam Predicted by Two‐Box Momentum Balance by E. Follett, I. Schalko, H. Nepf

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Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province by Changjiang Mao, Jian Luo, Shengyang Jiao, Bin Zhao

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Predicting per capita expenditure using satellite imagery and transfer learning: A case study of east Java province, Indonesia by Heri Kuswanto, Wahidatul Wardah Al Maulidiyah, Widhianingsih Tintrim Dwi Ary, Yudistira Ashadi

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Predicting clinical outcomes in a blended care intervention for early psychosis: Acceptance and Commitment Therapy in Daily-Life (ACT-DL) by Rafaël A. Bonnier, Joanne R. Beames, Glenn Kiekens, Evelyne van Aubel, Frederike Schirmbeck, Lieuwe de Haan, Machteld Marcelis, Mark van der Gaag, Ruud van Winkel, Therese van Amelsvoort, Thomas Vaessen, Ulrich Reininghaus, Ginette Lafit, Inez Myin-Germeys

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Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

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A novel nomogram for predicting osteoporosis with low back pain among the patients in Wenshan Zhuang and Miao Autonomous Prefecture of China by Man Jia, Man Jia, Qinzuo Dong, Zeqin Ren, Liwei Xing, Jinjie Li, Xiaomei Wang, Shun Yu, Xiaoyan Wang, Rong Zhao, Rong Zhao

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Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer by Nan Yang, Zhuang Xuan Ma, Xin Wang, Li Xiao, Liang Jin, Ming Li

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Clinical prognosis evaluation of alpha-fetoprotein-positive gastric cancer: comprehensive analysis and development of a novel nomogram for survival prediction by Fei Zuo, Yunyan Tan, Wenjun Mao, Zhaoqing Tang, Tianping Luo

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