Developing machine learning models for predicting cardiovascular disease survival based on heavy metal serum and urine levels by Hui Jin, Ling Zhang, Yan Sun, Ya Xu, Man Luo

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Bayesian hierarchical model predicts biopharmaceutical stability indicators and shelf life with application to multivalent human papillomavirus vaccine by Federico Ferrari, Jordan Berger, Linda Lemieux, Crina Paduraru, Michael Dillon, Andy Liaw, Ralf Carrillo, Sally Wong, Hossein Salami, Paolo Avalle, Edward Sherer, Douglas Richardson, Daniel Skomski

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EFFECTIVENESS OF THE SEATTLE HEART FAILURE MODEL IN PREDICTING THE LONG-TERM PROGNOSIS AMONG MEN WITH CORONARY HEART DISEASE by O. A. Krasnova, M. Yu. Sitnikova, S. G. Ivanov, P. A. Fedotov

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Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models by Tai Su, Peng Zhang, Peng Zhang, Bingyin Zhang, Zihao Liu, Zexing Xie, Xiaomei Li, Jixiang Ma, Tao Xin

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Analysis and Application of Critical Pressure Prediction Model for Surface Leakage of Underwater Shallow Buried Jacking-Pipe Grouting by Ziguang Zhang, Yong He, Xiaopeng Li, Xiang Li, Lin Wei, Feifei Chen

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XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy by Wenhan Li, Wenhan Li, Yajing Zhou, Ziyu Luo, Ziyu Luo, Miao Tan, Miao Tan, Rui Yin, Jianhui Li, Jianhui Li

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Hybrid model for predicting microsatellite instability in colorectal cancer using hematoxylin & eosin-stained images and clinical features by Hangping Wei, Xiaowei Zhang, Zhen Zhou, Jianbin Xie, Weidong Han, Xiaofang Dong

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A multi-modal deep learning model for prediction of Ki-67 for meningiomas using pretreatment MR images by Chaoyue Chen, Yanjie Zhao, Linrui Cai, Haoze Jiang, Yuen Teng, Yang Zhang, Shuangyi Zhang, Junkai Zheng, Fumin Zhao, Zhouyang Huang, Xiaolong Xu, Xin Zan, Jianfeng Xu, Lei Zhang, Jianguo Xu

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Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques by Gary S Collins, Richard D Riley, Johanna A A G Damen, Lotty Hooft, Ram Bajpai, Jie Ma, Constanza L Andaur Navarro, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Karel GM Moons

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Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma by Jianpeng Liu, Chuyun Shen, Shufan Jiang, Yanfei Wu, Jiaqi Tu, Yifang Bao, Haiqing Li, Na Wang, Ying Liu, Ji Xiong, Xueling Liu, Yuxin Li

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Prognostic prediction model for chronic postsurgical pain among adult patients: a systematic review and meta-analysis by Yanjie Dong, Huolin Zeng, Lei Yang, Huan Song, Qian Li

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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

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Machine Learning Model-Based Prediction of In-Hospital Acute Kidney Injury Risk in Acute Aortic Dissection Patients by Zhili Wei, Shidong Liu, Yang Chen, Hongxu Liu, Guangzu Liu, Yuan Hu, Bing Song

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Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model by Abhishek Kumar Dubey, Prakash Kumar Jha, Kumari Shubha, RN Singh, Manisha Tamta, Sonam Sah, Santosh Kumar, Sanjeev Kumar, Rakesh Kumar, Kirti Saurabh, Rajeev Kumar, Anup Das, P. V. V. Prasad, Arbind Kumar Choudhary

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A nomogram model to predict grade ≥2 acute radiation enteritis in older adult patients with cervical cancer by Lin Zhu, Lijuan Wang, Yihan Wu, Ming Zhu, Xue Huang, Yan Ma, Dandan Xu, Sen Wang, Yuxing Yang, Xiaoting Xu

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The effect of training data size on real-time respiration prediction using long short-term memory model by Wenzheng Sun, Jun Dang, Lei Zhang, Qichun Wei, Chao Li, Ye Liu, Huang Jing, Kanghua Huang, Yuanpeng Zhang, Bing Li

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Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease by Zhuoyan Chen, Weimin Cai, Yuanhang He, Tianhao Mei, Yuxuan Zhang, Shiyu Li, Yiwen Hong, Yuhao Chen, Huiya Ying, Yuan Zeng, Fujun Yu

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Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models by Ya Ding, Yan Lu, Akash Tariq, Fanjiang Zeng, Yanju Gao, Jordi Sardans, Dhafer A. Al-Bakre, Josep Peñuelas

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Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations by Jihong Sun, Peng Tian, Zhaowen Li, Xinrui Wang, Haokai Zhang, Jiangquan Chen, Ye Qian

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Diagnostic Accuracy of Deep Learning Models in Predicting Glioma Molecular Markers: A Systematic Review and Meta-Analysis by Somayeh Farahani, Marjaneh Hejazi, Sahar Moradizeyveh, Antonio Di Ieva, Emad Fatemizadeh, Sidong Liu

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