Predicting deformation kinetics and fractures propagation in coal-rock masses using acoustic emission testing by Majid Khan, Xueqiu He, Dazhao Song, Zhenlei Li, Xianghui Tian

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Identification of the risk factors for predicting severe acute kidney injury in patients after liver transplantation by Ran Zhou, Huan Wang, Qi Yang, Qi Yang, Lin Han

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Global burden of colorectal cancer attributable to metabolic risks from 1990 to 2021, with predictions to 2046 by Xiaoyue Zhang, Ziqing Xu, Lin Shang, Qian Yang, Hua Ye, Haiyan Liu, Yuanlin Zou, Yin Lu, Zhong Zheng, Meng Li, Peng Wang, Jicun Zhu

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Emotion dynamics prospectively predict depressive symptoms in adolescents: findings from intensive longitudinal data by Yuting Yang, Jingyi Wang, Haijiang Lin, Xiaoxiao Chen, Yun Chen, Jiawen Kuang, Ye Yao, Tingting Wang, Chaowei Fu

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The Role of Endothelinergic and Nitroxidergic Reactions in Predicting the Functional Outcome in Patients with Ischemic Stroke of Different Severity by A. M. Tynterova, E. M. Moiseeva, A. M. Golubev, N. N. Shusharina

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Associations of genetically predicted fatty acid levels across the phenome: A mendelian randomisation study. by Loukas Zagkos, Marie-Joe Dib, Rui Pinto, Dipender Gill, Fotios Koskeridis, Fotios Drenos, Georgios Markozannes, Paul Elliott, Verena Zuber, Kostas Tsilidis, Abbas Dehghan, Ioanna Tzoulaki

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Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review by Eriseld Krasniqi, Lorena Filomeno, Teresa Arcuri, Gianluigi Ferretti, Simona Gasparro, Alberto Fulvi, Arianna Roselli, Loretta D’Onofrio, Laura Pizzuti, Maddalena Barba, Marcello Maugeri-Saccà, Claudio Botti, Franco Graziano, Ilaria Puccica, Sonia Cappelli, Fabio Pelle, Flavia Cavicchi, Amedeo Villanucci, Ida Paris, Fabio Calabrò, Sandra Rea, Maurizio Costantini, Letizia Perracchio, Giuseppe Sanguineti, Silvia Takanen, Laura Marucci, Laura Greco, Rami Kayal, Luca Moscetti, Elisa Marchesini, Nicola Calonaci, Giovanni Blandino, Giulio Caravagna, Patrizia Vici

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Impact of personalised risk predictions on breast cancer risk perceptions: insights from the BREATHE study by Peh Joo Ho, Su-Ann Goh, Serene Si Ning Goh, Jenny Liu, Ying Jia Chew, Nur Khaliesah Mohamed Riza, Han Boon Oh, Chi Hui Chin, Sing Cheer Kwek, Zhi Peng Zhang, Desmond Luan Seng Ong, Swee Tian Quek, Sujith Wijerathne, Jingmei Li, Philip Tsau Choong Iau, Mikael Hartman

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Remnant cholesterol predicts risk of recurrent thrombosis beyond LDL-cholesterol in patients with antiphospholipid syndrome by Bin Cai, Yangzhong Zhou, Xinzhuang Yang, Zhaoqing Wang, Can Huang, Qingqing Xiao, Hui Jiang, Yuan Zhao, Xinping Tian, Qian Wang, Guanqiao Li, Mengtao Li, Xiaofeng Zeng, Jiuliang Zhao

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Development and validation of mRNA expression-based classifiers to predict low-risk thyroid tumors by Allan Golding, David Bimston, Emma Namiranian, Ellen Marqusee, Gabriel Correa, Evana Valenzuela Scheker, Ruochen Jiang, Yangyang Hao, Mohammed Alshalalfa, Jing Huang, Joshua P. Klopper, Richard T. Kloos, Sara Ahmadi

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Predicting present and future habitats using LiDAR to integrate research and monitoring with landscape analyses by David A. MacLean, Thomas Baglole, Maurane Bourgouin, Billie Chiasson, Jiban C. Deb, Maitane Erdozain, Remus J. James, Lauren Negrazis, Louka Tousignant, Phil Wiebe, Greg Adams, Joseph R. Bennett, Erik J.S. Emilson, Nicole J. Fenton, Graham J. Forbes, Michelle A. Gray, Karen A. Kidd, Andrew McCartney, Gaetan Moreau, Kevin B. Porter, Osvaldo Valeria, Lisa A. Venier

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AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management by Joseph Finkelstein, Aref Smiley, Christina Echeverria, Kathi Mooney

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PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE) by Nita Suryani, Arnita Arnita, Rinjani Cyra Nabila, Amanda Fitria

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Predicting Geostationary 40–150 keV Electron Flux Using ARMAX (an Autoregressive Moving Average Transfer Function), RNN (a Recurrent Neural Network), and Logistic Regression: A Com... by L. E. Simms, N. Yu. Ganushkina, M. Van derKamp, M. Balikhin, M. W. Liemohn

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Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies by Vijay Kumar Damera, Ramesh Cheripelli, Narsaiah Putta, G. Sirisha, Deepthi Kalavala

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Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data by Munib Mesinovic, Peter Watkinson, Tingting Zhu

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Gonorrhoea among China’s aging population: a 20-year nationwide analysis of epidemiological trends with 5-year projections by Rui-Rui Peng, Zuo-Xi Chen, Juan Wu, Mei Shi, Xin Zheng, Chun-Jie Liao, Lin Zhu, Xiang-Dong Gong, Fu-Quan Long

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Predictive value of the FIB-4 index, APRI, ALBI score, and GPR for overall survival in treatment-naïve metastatic colorectal cancer patients by Mehmet Serdar Yıldırım, Yunus Güzel, Canan Can, İhsan Kaplan, Veysi Şenses, İhsan Solmaz, Bilgin Bahadır Başgöz, Ömer Faruk Alakuş, Serdar İleri, Halil Kömek

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Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics by Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, Sadia Zaman, A. S. M. Sharifuzzaman Sagar, Boumediene Hamzi

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