Prediction models after hepatectomy for hepatocellular carcinoma-based ultrasonic radiomics: an observational study by Dong Jiang, Jialun Ren, Yi Qian, Yijun Gu, Ru Wang, Hua Yu, Hui Dong, Dongyu Chen, Yan Chen, Haozheng Jiang, Yiran Li

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Prediction models of iron level in beef muscle tissue toward ecological well-being by K. Narozhnykh

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A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval by Huiting Feng, Dedong Wang, Yuri Y. Shprits, Artem Smirnov, Deyu Guo, Yoshizumi Miyoshi, Stefano Bianco, Shangchun Teng, Run Shi, Su Zhou, Yongliang Zhang

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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

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Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications by Malihe Ram MS, Mohammad Reza Afrash PhD, Khadijeh Moulaei PhD, Erfan Esmaeeli, Mohadeseh Sadat Khorashadizadeh, Ali Garavand PhD, Parastoo Amiri PhD, Azam Sabahi PhD

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Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF by Fulin SONG, Hong ZHAO, Xingyuan MIAO

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Deep learning for predicting rehospitalization in acute heart failure: Model foundation and external validation by Mi‐Na Kim, Yong Seok Lee, Youngmin Park, Ayoung Jung, Hanjee So, Joonwoong Park, Jin‐Joo Park, Dong‐Joo Choi, So‐Ree Kim, Seong‐Mi Park

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Development and validation of a deep learning-enhanced prediction model for the likelihood of pulmonary embolism by Yu Tian, Yu Tian, Jingjie Liu, Shan Wu, Yucong Zheng, Rongye Han, Qianhui Bao, Lei Li, Lei Li, Tao Yang

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NeuroScale: evolutional scale-based protein language models enable prediction of neuropeptides by Hongqi Zhang, Shanghua Liu, Wei Su, Xueqin Xie, Junwen Yu, Fuying Dao, Mi Yang, Hao Lyu, Hao Lin

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Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

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Weighted Hybrid Random Forest Model for Significant Feature prediction in Alzheimer’s Disease Stages by M. Rohini, D. Surendran

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Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

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Nutritional profiling of horse gram through NIRS-based multi-trait prediction modelling by Manju Kumari, Siddhant Ranjan Padhi, Mamta Arya, Rashmi Yadav, M. Latha, Anjula Pandey, Rakesh Singh, Chellapilla Bhardwaj, Atul Kumar, Jai Chand Rana, Kailash Chandra Bhatt, Rakesh Bhardwaj, Amritbir Riar

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A reproducible rat model for predicting incisional hernia recurrence: insights for clinical translation by Eric Toshiyuki Nakamura, Francisco Tustumi, Marina Alessandra Pereira, Leonardo Cardili, Ana Paula Gárate, Bruno Cogliati, Venancio Avancini Ferreira Alves, Sandra Nassa Sampietre, Cinthia Lanchotte Ferreira, Giovanna Mattos Ferreira, Michelly Moreira Campos, Ulysses Ribeiro Junior, Luiz Augusto Carneiro D’Albuquerque, Flávio Henrique Ferreira Galvão

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Prostruc: an open-source tool for 3D structure prediction using homology modeling by Shivani V. Pawar, Wilson Sena Kwaku Banini, Musa Muhammad Shamsuddeen, Toheeb A. Jumah, Nigel N. O. Dolling, Abdulwasiu Tiamiyu, Olaitan I. Awe

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Risk prediction models for ovarian hyperstimulation syndrome: a systematic review and meta-analysis by Jinghui Liu, Fangli Liu, Wenqi Xu, Luwen Zhang, Qingmi Tian, Libaihe Du, Siyuan Li, Mingyang Zhang

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Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

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Combining diffusion and transformer models for enhanced promoter synthesis and strength prediction in deep learning by Xin Lei, Xing Wang, Guanlin Chen, Ce Liang, Quhuan Li, Huaiguang Jiang, Wei Xiong

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Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients by Xingyue Zheng, Liuyun Wu, Lian Li, Yin Wang, Qinan Yin, Lizhu Han, Xingwei Wu, Yuan Bian

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Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study by Nicholas J. Casacchia, Kristin M. Lenoir, Joseph Rigdon, Brian J. Wells

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