Risk factors for mortality in patients with primary biliary cholangitis: a nomogram to predict 5-year survival by Yaxing Liu, Muyu Gao, Bin Li, Long Liu, Yao Liu, Ying Feng, Xiaojing Wang, Xianbo Wang, Guiqin Zhou

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Machine learning-based prediction of adverse pregnancy outcomes in antiphospholipid syndrome using pregnancy antibody levels by Wanqing Liu, Ju Huang, Jun Xiao, Shanling Yan

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ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction. by Yunyun Dong, Yuanrong Zhang, Yuhua Qian, Yiming Zhao, Ziting Yang, Xiufang Feng

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Clinicopathological Characteristics and Prediction of Postoperative Mortality Risk in Patients with Non-metastatic Sarcomatoid Renal Cell Carcinoma by Lian Fang MD, Zhiyu Zhang MD, Ouyang Song MD, Yufeng Hou MD, Hujuan Yang MD, Jun Ouyang PhD, Xuefeng Zhang PhD, Nan Wang PhD, Shicheng Sun PhD

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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

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Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm by Kuiqian Ma, Chunxin Wu, Yige Huang, Pengfei Mu, Peng Shi

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Predicting pressure gradient using artificial intelligence for transcatheter aortic valve replacementCentral MessagePerspective by Anoushka Dasi, BS, Beom Lee, MS, Venkateshwar Polsani, MD, FACC, FASE, Pradeep Yadav, MD, FACC, Lakshmi Prasad Dasi, PhD, FACC, FAIMBE, Vinod H. Thourani, MD, FACS, FACC

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The significance of C-reactive protein for the prediction of net-adverse clinical outcome in patients with acute pulmonary embolism by Milić Rade, Džudović Boris, Subotić Bojana, Obradović Slobodan, Soldatović Ivan, Petrović Marina

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Predicting preventative effects of cognitive control training in remitted depressed individuals: A machine learning approach by Yannick Vander Zwalmen, Ernst H.W. Koster, David Demeester, Chris Baeken, Nick Verhaeghe, Kristof Hoorelbeke

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Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions by Muhammad Mujiburohman, Marwen Elkamel, Farzad Hourfar, Ali Elkamel

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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

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Global air quality index prediction using integrated spatial observation data and geographics machine learning by Tania Septi Anggraini, Hitoshi Irie, Anjar Dimara Sakti, Ketut Wikantika

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Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis by Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

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Neural Network Approach for Fatigue Crack Prediction in Asphalt Pavements Using Falling Weight Deflectometer Data by Bishal Karki, Sayla Prova, Mayzan Isied, Mena Souliman

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Predicted increased distribution of non-native red drum in China’s coastal waters under climate change by Jintao Li, Linjie Li, Yankuo Xing, Linlong Wang, Yugui Zhu, Bin Kang

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Prediction of risk for secondary lower respiratory tract fungal infection during the acute exacerbation phase of COPD by Shasha Han, Xiangyi Meng

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Debris Flow Susceptibility Prediction Using Transfer Learning: A Case Study in Western Sichuan, China by Tiezhu Li, Qidi Huang, Qigang Chen

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An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer by Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali

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Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction by Mohammed Majeed Hameed, Mohamed Khalid Alomar, Siti Fatin Mohd Razali, Ali Salem

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Enhancing Compressive Strength Prediction in Recycled Aggregate Concrete through Robust Hybrid Machine Learning Approaches by Samuel Keown, Dylan O’Dwyer

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