Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel by Christine Ahrends, Mark W Woolrich, Diego Vidaurre

“…One reason why these dynamic patterns are not usually considered is that they have to be described by complex, high-dimensional models; and it is unclear how best to use these models for prediction. …”
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Predicting depression risk in COPD patients: a model based on NHANES 2007–2012 data by Jinyan Zhang, Shenghong Zhou

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Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer by Chenghang Li, Yongchang Wei, Jinzhi Lei

“…To systematically analyze the heterogeneous tumor progression and recurrence observed in advanced mCRC patients, we developed a quantitative cancer-immunity cycle (QCIC) model. The QCIC model employs differential equations to capture the biological mechanisms underlying the cancer-immunity cycle and predicts tumor evolution dynamics under various treatment strategies through stochastic computational methods. …”
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Development and validation of nomogram model predicting overall survival and cancer specific survival in glioblastoma patients by Yingming Mu, Junchi Luo, Tao Xiong, Junheng Zhang, Jinhai Lan, Jiqin Zhang, Ying Tan, Sha Yang

“…Abstract Background Identifying the incidence and risk factors of Glioblastoma (GBM) and establishing effective predictive models will benefit the management of these patients. …”
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Prognosis of Pediatric Dilated Cardiomyopathy: Nomogram and Risk Score Models for Predicting Death/Heart Transplantation by Bowen Xu, Yue Yuan, Lu Gao, Zhiyuan Wang, Zhenyu Lv, Wen Yu, Hongfang Jin, Zhen Zhen, Zhihui Zhao, Jia Na, Aihua Hu, Yanyan Xiao

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Predicting the impact of vaccination on the transmission dynamics of typhoid in South Asia: a mathematical modeling study. by Virginia E Pitzer, Cayley C Bowles, Stephen Baker, Gagandeep Kang, Veeraraghavan Balaji, Jeremy J Farrar, Bryan T Grenfell

“…<h4>Conclusions/significance</h4>We found that model predictions for the overall and indirect effects of vaccination depend strongly on the role of chronic carriers in transmission. …”
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Chemical Composition-Driven Machine Learning Models for Predicting Ionic Conductivity in Lithium-Containing Oxides by Yudai IWAMIZU, Kota SUZUKI, Michiyo KAMIYA, Naoki MATSUI, Kuniharu NOMOTO, Satoshi HORI, Masaaki HIRAYAMA, Ryoji KANNO

“…Thus, new models demonstrating improved prediction ability must be developed. …”
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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

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Correction: A blood test-based machine learning model for predicting lung cancer risk by Lihi Schwartz, Naor Matania, Matanel Levi, Teddy Lazebnik, Teddy Lazebnik, Shiri Kushnir, Noga Yosef, Assaf Hoogi, Dekel Shlomi, Dekel Shlomi

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Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

“…This study develops two machine learning models to predict the medal performance of countries at the 2028 Olympic Games while systematically analyzing and quantifying the impacts of the host effect and exceptional coaching on medal gains. …”
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Understanding and predicting flossing behavior in a rural Appalachian community using the multi-theory model by Rahib K. Islam, Manoj Sharma, Amanda H. Wilkerson, Bradford Layman, Clyde Dunn, Shamima A. Somi, Ratnesh Sharma, Karen Gruszynski, Syed S. Quadri, Vinayak K. Nahar, Robert E. Davis

“…The MTM constructs were measured and data were analyzed using multiple linear regression models. Of the 228 participants, 55% did not floss daily. …”
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An Optimized GWO-BPNN Model for Predicting Corrosion Fatigue Performance of Stay Cables in Coastal Environments by Liping Zhou, Guowen Yao

“…The optimized GWO-BPNN model significantly enhances prediction accuracy, stability, generalization, and convergence speed. …”
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Correction: Predicting Nottingham grade in breast cancer digital pathology using a foundation model by Jun Seo Kim, Jeong Hoon Lee, Yousung Yeon, Doyeon An, Seok Jun Kim, Myung-Giun Noh, Suehyun Lee

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A Model Developed for Predicting Uniformity of Kyphoplasty Balloon Wall Thickness Based on the Orthogonal Test by Guanghui Dai, Qingqing Zhang, Guobao Jin

“…Results show that both predictive models can be used for predicting the uniformity of the balloon with a higher reliability. …”
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An Enhanced TimesNet-SARIMA Model for Predicting Outbound Subway Passenger Flow with Decomposition Techniques by Tianzhuo Zuo, Shaohu Tang, Liang Zhang, Hailin Kang, Hongkang Song, Pengyu Li

“…This research introduces a hybrid forecasting approach that combines an enhanced TimesNet model, Seasonal Autoregressive Integrated Moving Average (SARIMA), and Variational Mode Decomposition (VMD) to improve passenger flow prediction. …”
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Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population. by Naotoshi Nakamura, Yurie Kobashi, Kwang Su Kim, Hyeongki Park, Yuta Tani, Yuzo Shimazu, Tianchen Zhao, Yoshitaka Nishikawa, Fumiya Omata, Moe Kawashima, Makoto Yoshida, Toshiki Abe, Yoshika Saito, Yuki Senoo, Saori Nonaka, Morihito Takita, Chika Yamamoto, Takeshi Kawamura, Akira Sugiyama, Aya Nakayama, Yudai Kaneko, Yong Dam Jeong, Daiki Tatematsu, Marwa Akao, Yoshitaka Sato, Shoya Iwanami, Yasuhisa Fujita, Masatoshi Wakui, Kazuyuki Aihara, Tatsuhiko Kodama, Kenji Shibuya, Shingo Iwami, Masaharu Tsubokura

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Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients by Gangfeng Zhu, Qiang Yi, Rui Xu, Yi Xie, Siying Chen, Yipeng Song, Yi Xiang, Xiangcai Wang, Li Huang

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A Model for Predicting the Risk of Developing Drug-Induced Liver Injury During Therapy with Favipiravir by Yu. V. Shevchuk, I. V. Sychev, A. V. Kryukov, I. I. Temirbulatov, K. B. Mirzaev, N. P. Denisenko, Sh. P. Abdullaev, S. N. Tuchkova, V. I. Vechorko, O. V. Averkov, D. A. Sychev

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An interpretable machine learning model for predicting early liver metastasis after pancreatic cancer surgery by Hao Zhu, Yiyan Zhou, Danyang Shen, Kejia Wu, Xiaojie Gan, Xiaofeng Xue, Weigang Zhang, Xiaohua Yang, Junyi Qiu, Ding Sun

Subjects: “…Prediction model…”
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MODELING AS A TOOL FOR PREDICTING THE PRODUCTIVE CAPACITY OF WOOD HARVESTING: APPROACH OF FELLER-BUNCHER AND HARVESTER by Francisco de Assis Costa Ferreira, Cássio Furtado Lima, Luciano José Minette, Roldão Carlos Andrade Lima, Luis Carlos de Freitas, Fernanda Araujo Lima, Lucas Moraes Rufini de Souza, Bruno Leão Said Schettini, Arthur Araújo Silva, Leonardo França da Silva, Pedro Paulo Almeida Junior, Elton da Silva Leite, Leonardo Carneiro Freitas de Oliveira

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