Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

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Risk prediction models for dental caries in children and adolescents: a systematic review and meta-analysis by Peng Zhang, Kang Li, Xijia Wang, Huifei Lu, Dandan Luo, Dunhui Yang, Shuqi Qiu, Haotao Zeng, Xianhai Zeng

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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

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Yield Prediction Models for Rice Varieties Using UAV Multispectral Imagery in the Amazon Lowlands of Peru by Diego Goigochea-Pinchi, Maikol Justino-Pinedo, Sergio S. Vega-Herrera, Martín Sanchez-Ojanasta, Roiser H. Lobato-Galvez, Manuel D. Santillan-Gonzales, Jorge J. Ganoza-Roncal, Zoila L. Ore-Aquino, Alex I. Agurto-Piñarreta

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A Lymphocyte Subset-Based Prediction Model for Refractory Community-Acquired Pneumonia in Immunocompetent Patients by Jingyuan Zhang, Xinyu Hu, Ailifeila Aili, Lei Pan, Xinying Xue, Xiaolan Chen

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Comprehensive mathematical modeling of age-dependent oocyte quality and quantity for predicting live birth rate by Toshio Sujino, Tatsuyuki Ogawa, Akira Komiya, Akira Komiya, Makiko Tajima, Yuko Takayanagi, Yurie Nako, Hayata Nakajo, Kenichiro Hiraoka, Isao Tamura, Hidetoshi Yamashita, Kiyotaka Kawai

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Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques by Hong Xiao, Yi-lang Ding, Chao Wang, Peng Yang, Qiang Chen, Hao-nan He, Ruijie Yao, Hai-lin Huang, Xi Chen, Mao-yuan Wang, Song-xi Tang, Hui-liang Zhou

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Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study by Juan Xie, Run-wei Ma, Yu-jing Feng, Yuan Qiao, Hong-yan Zhu, Xing-ping Tao, Wen-juan Chen, Cong-yun Liu, Tan Li, Kai Liu, Li-ming Cheng

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Risk prediction models for mortality in patients with severe pneumonia: a systematic review and meta-analysis by Xiaoyu Wang, Xiaoyu Wang, Zhenzhen Feng, Zhenzhen Feng, Zhenzhen Feng, Lu Wang, Lu Wang, Wenrui Liu, Wenrui Liu, Jiansheng Li, Jiansheng Li, Jiansheng Li

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Prediction of lung adenocarcinoma prognosis and clinical treatment efficacy by telomere-associated gene risk model by Yan Jiang, Jun Liu, Bi Pan, Siping Yu, Chunyan Hu, Qiancheng Li, Hong Cheng, Ling Chen, Min Jiang, Die Xu, Chuanhui Wang, Jie Yan

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Hyperspectral Prediction Models of Chlorophyll Content in <i>Paulownia</i> Leaves under Drought Stress by Yamei Zhang, Guangxin Ru, Zhenli Zhao, Decai Wang

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Prediction of drug-drug interactions in clozapine combination therapy based on physiologically based pharmacokinetic model by MOU Fan, HUANG Zhiwei, CHENG Yu, ZHAO Xue, LI Huafang, YU Shunying

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Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors by Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Nicholas Riccardi, Valerie L. Shalin, Valerie L. Shalin, Dirk-Bart den Ouden, Julius Fridriksson, Svetlana V. Shinkareva, Svetlana V. Shinkareva, Amit P. Sheth, Amit P. Sheth, Amit P. Sheth, Rutvik H. Desai, Rutvik H. Desai

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Analyzing the use of fact-checking tools in disaster-risk reduction in Europe through the lens of the heuristic-systematic model by Nadejda Komendantova, Tahereh Zobeidi, Masoud Yazdanpanah

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Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients by Yunjie Zhang, Songjian Tong, Junhui Yang, Jiawei Lin, Yifan Kong, Deyu Lu, Yan Chen, Yingchao Li, Linfeng Xu, Xiuyan Kong, Guoqing Zhu, Hao Zhang, Pixu Liu, Zhijie Yu, Jinglin Xia

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A Radiomic-based model to predict the depth of myometrial invasion in endometrial cancer on ultrasound images by Francesca Arezzo, Annarita Fanizzi, Rosanna Mancari, Emiliano Cocco, Samantha Bove, Maria Colomba Comes, Mariangela Gianciotta, Giorgia Lanza, Salvatore Lopez, Gerardo Cazzato, Erica Silvestris, Elsa Vitale, Enrico Vizza, Gennaro Cormio, Raffaella Massafra, Vera Loizzi

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Nomogram risk prediction model for acute respiratory distress syndrome following acute kidney injury by Hui Lin, Hui Lin, Hui Lin, Yilin Ren, Yilin Ren, Yilin Ren, Jing Cui, Junnan Guo, Junnan Guo, Junnan Guo, Mengzhu Wang, Mengzhu Wang, Mengzhu Wang, Lihua Wang, Lihua Wang, Lihua Wang, Xiaole Su, Xiaole Su, Xiaole Su, Xi Qiao, Xi Qiao, Xi Qiao

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Development and application of an early prediction model for risk of bloodstream infection based on real-world study by Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li

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Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon by Niriele Bruno Rodrigues, Theresa Rocco Barbosa, Helena Saraiva Koenow Pinheiro, Marcelo Mancini, Quentin D. Read, Joshua Blackstock, Edwin H. Winzeler, David Miller, Phillip R. Owens, Zamir Libohova

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A Model for Predicting the Risk of Developing Drug-Induced Liver Injury During Therapy with Favipiravir by Yu. V. Shevchuk, I. V. Sychev, A. V. Kryukov, I. I. Temirbulatov, K. B. Mirzaev, N. P. Denisenko, Sh. P. Abdullaev, S. N. Tuchkova, V. I. Vechorko, O. V. Averkov, D. A. Sychev

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