Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank by Alexander Smith, Paul Elliott, Manuel Mayr, Abbas Dehghan, Ioanna Tzoulaki

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Improved SPMA Protocol Based on the BiLSTM Prediction Model for the Space–Air–Ground Information Network by Jinyue Liu, Peng Gong, Weidong Wang, Siqi Li, Zhixuan Feng, Yu Liu, Guangwei Zhang, Jihao Zhang

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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models by Ahmad Alsaber, Anurag Satpathi, Mariam Alsabah, Parul Setiya

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Predicting the risk of rheumatoid arthritis and its age of onset through modelling genetic risk variants with smoking. by Ian C Scott, Seth D Seegobin, Sophia Steer, Rachael Tan, Paola Forabosco, Anne Hinks, Stephen Eyre, Ann W Morgan, Anthony G Wilson, Lynne J Hocking, Paul Wordsworth, Anne Barton, Jane Worthington, Andrew P Cope, Cathryn M Lewis

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Development of Co-Amorphous Systems for Inhalation Therapy—Part 1: From Model Prediction to Clinical Success by Eleonore Fröhlich, Aurora Bordoni, Nila Mohsenzada, Stefan Mitsche, Hartmuth Schröttner, Sarah Zellnitz-Neugebauer

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GNSS–VTEC prediction based on CNN–GRU neural network model during high solar activities by T. Y. Yang, J. Y. Lu, Y. Y. Yang, Y. H. Hao, M. Wang, J. Y. Li, G. C. Wei

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Development and validation of a nomogram-based predictive model for recurrence risk of uterine leiomyoma after myomectomy by Chengzhi Song, Zhen Li, Yueling Wu, Jingjing Zou, Xinwei Lin, Bilian Zou, Shibo Zhao, Yijin Xu, Yingying Li, Yanjun Liu, Ziying Tu, Weiyu Huang, Ying Zhang, Wenle Li

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Development and validation of a risk prediction model for pulmonary tuberculosis among presumptive tuberculosis cases in Ethiopia by Kefyalew Addis Alene, Haileab Fekadu Wolde, Archie C A Clements

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Predictive modeling of graves’ orbitopathy activity based on meibomian glands analysis using in vivo confocal microscopy by Zixuan Su, Yayan You, Shengnan Cheng, Jiahui Huang, Xueqing Liang, Xinghua Wang, Fagang Jiang

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AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images by Fengling Li, Yani Wei, Wenchuan Zhang, Yuanyuan Zhao, Jing Fu, Xiuli Xiao, Yan Qiu, Yuhao Yi, Yongquan Yang, Hong Bu

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Investigating the strength performance of 3D printed fiber-reinforced concrete using applicable predictive models by Lu Qianyang, Mei Song, AlAteah Ali H., Alsubeai Ali, Eldin Mohammad Mohie, Ahmed Hafez Mohamed

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Steady-State Model Enabled Dynamic PEMFC Performance Degradation Prediction via Recurrent Neural Network by Qiang Liu, Weihong Zang, Wentao Zhang, Yang Zhang, Yuqi Tong, Yanbiao Feng

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The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction by Farjana Tasnim Mukta, Md Masud Rana, Avery Meyer, Sally Ellingson, Duc D. Nguyen

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Prediction of Inflorescence Emergence in ‘Yu Her Pau’ Litchi Under Climate Change Using an Optimised Model by JenYu Chang, Lisa Tang, Chu‐Chung Chen, Yi‐Ting Zhang, Chi‐Ling Chen

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Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study by Junchen Guo, Yunyun Dai, Sishan Jiang, Junqingzhao Liu, Xianghua Xu, Yongyi Chen

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Exploring malaria prediction models in Togo: a time series forecasting by health district and target group by Muriel Rabilloud, Nicolas Voirin, Anne Thomas, Tchaa Abalo Bakai, Tinah Atcha-Oubou, Tchassama Tchadjobo

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BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model by Liao Xuanzhi, Abeer Hakeem, Linda Mohaisen, Muhammad Umer, Muhammad Attique Khan, Shrooq Alsenan, Shtwai Alsubai, Nisreen Innab

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Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate by Irwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat

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Integrated multi-omics analysis and predictive modeling of heart failure using sepsis-related gene signature. by Yiping Lang, Tianyu Liang, Fei Li

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Data-Driven Optimization Method for Recurrent Neural Network Algorithm: Greenhouse Internal Temperature Prediction Model by Kwang Cheol Oh, Sunyong Park, Seok Jun Kim, La Hoon Cho, Chung Geon Lee, Dae Hyun Kim

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