A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning by Madina Suleimenova, Kuat Abzaliyev, Madina Mansurova, Symbat Abzaliyeva, Almagul Kurmanova, Guzel Tokhtakulinova, Akbota Bugibayeva, Diana Sundetova, Merei Abdykassymova, Ulzhas Sagalbayeva, Raushan Bitemirova, Zhadyra Yerkin

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Immune regulation and prognostic prediction model establishment and validation of PSMB6 in lung adenocarcinoma by Haiyang Zhao, Haiyang Zhao, Haiyang Zhao, Haiyang Zhao, Kexin Luo, Kexin Luo, Kexin Luo, Kexin Luo, Meihan Liu, Meihan Liu, Meihan Liu, Meihan Liu, Yuanze Cai, Siman Liu, Shijuan Li, Yongsheng Zhao, Yongsheng Zhao, Yongsheng Zhao, Hongpan Zhang, Hongpan Zhang, Hongpan Zhang, Hongpan Zhang

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Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns by Shi-Qi Wang, Shi-Qi Wang, Kan Qiu, Qi-Rui Zheng, Bing-Jie Zhou, Ming-Yu Li, Hai-Yan Zhong, Yong Chen, Si-Ming Yuan, Si-Ming Yuan

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A preoperative pathological staging prediction model for esophageal cancer based on CT radiomics by Haojun Li, Shuoming Liang, Mengxuan Cui, Weiqiu Jin, Xiaofeng Jiang, Simiao Lu, Jicheng Xiong, Hainan Chen, Ziwei Wang, Guotai Wang, Jiming Xu, Linfeng Li, Yao Wang, Haomiao Qing, Yongtao Han, Xuefeng Leng

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Pregnancy probability prediction models based on 5 machine learning algorithms and comparison of their performance by REN Chao, REN Chao, YANG Huan, ZHOU Niya, ZHOU Niya

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Assessment of tuberculosis drug efficacy using preclinical animal models and in vitro predictive techniques by Hazem F. M. Abdelaal, Bryan J. Berube, Brendan K. Podell, Matthew H. Harband, Hadley E. Gary, Martin Perez-Jaimes, David F. Ackart, Valerie A. Reese, Sasha E. Larsen, Tiffany Pecor, David Z. Wilkins, Tanya Parish, Sara E. Maloney-Norcross, Jeffrey B. Mecham, Anthony J. Hickey, Susan L. Baldwin, Rhea N. Coler

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Winter Wheat Nitrogen Content Prediction and Transferability of Models Based on UAV Image Features by Jing Zhang, Gong Cheng, Shaohui Huang, Junfang Yang, Yunma Yang, Suli Xing, Jingxia Wang, Huimin Yang, Haoliang Nie, Wenfang Yang, Kang Yu, Liangliang Jia

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Characteristics and predictive model for diffuse large B-cell lymphoma with early chemoimmunotherapy failure by Ying-Yu Dong, Qing Shi, Wen Wu, Bing-Bing Zhao, Di Fu, Peng-Peng Xu, Shu Cheng, Guilhem Bousquet, Guilhem Bousquet, Guilhem Bousquet, Wei-Li Zhao, Wei-Li Zhao, Li Wang, Li Wang

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Implementing Symptom-Based Predictive Models for Early Diagnosis of Pediatric Respiratory Viral Infections by Antoni Soriano-Arandes, Cristina Andrés, Aida Perramon-Malavez, Anna Creus-Costa, Anna Gatell, Ramona Martín-Martín, Elisabet Solà-Segura, Maria Teresa Riera-Bosch, Eduard Fernández, Mireia Biosca, Ramon Capdevila, Almudena Sánchez, Isabel Soler, Maria Chiné, Lidia Sanz, Gabriela Quezada, Sandra Pérez, Dolors Canadell, Olga Salvadó, Marisa Ridao, Imma Sau, Ma Àngels Rifà, Esperança Macià, Sílvia Burgaya-Subirana, Mònica Vila, Jorgina Vila, Asunción Mejías, Andrés Antón, Pere Soler-Palacin, Clara Prats

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Analysis of risk factors for sepsis-related liver injury and construction of a prediction model by Yong He, Yong He, Yong He, Chi Wang, Chi Wang, Chi Wang, Wan He, Wan He, Wan He, He Zhang, He Zhang, He Zhang, Fei Ding, Fei Ding, Fei Ding, Ying Liu, Ying Liu, Ying Liu, He He, He He, He He, Binwu Ying, Binwu Ying, Binwu Ying, Xin Nie, Xin Nie, Xin Nie, Xin Nie

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Predictive risk-scoring model for lateral lymph node metastasis in papillary thyroid carcinoma by Yehao Guo, Yunye Liu, Weidong Teng, Yan Pan, Lizhuo Zhang, Dongdong Feng, Jiajun Wu, Wenli Ma, Jiafeng Wang, Jiajie Xu, Chuanming Zheng, Xuhang Zhu, Zhuo Tan, Liehao Jiang

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Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

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Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate by Felipe Kenji Nakano, Anna Åkesson, Jasper de Boer, Klest Dedja, Robbe D’hondt, Fateme Nateghi Haredasht, Jonas Björk, Marie Courbebaisse, Lionel Couzi, Natalie Ebert, Björn O. Eriksen, R. Neil Dalton, Laurence Derain-Dubourg, Francois Gaillard, Cyril Garrouste, Anders Grubb, Lola Jacquemont, Magnus Hansson, Nassim Kamar, Christophe Legendre, Karin Littmann, Christophe Mariat, Toralf Melsom, Lionel Rostaing, Andrew D. Rule, Elke Schaeffner, Per-Ola Sundin, Arend Bökenkamp, Ulla Berg, Kajsa Åsling-Monemi, Luciano Selistre, Anders Larsson, Ulf Nyman, Antoine Lanot, Hans Pottel, Pierre Delanaye, Celine Vens

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Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques by Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris

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Clinical ocular prediction model of postoperative ametropic amblyopia in patients with congenital ectopia lentis by Xinyue Wang, Xinyue Wang, Xinyue Wang, Xinyue Wang, Linghao Song, Linghao Song, Linghao Song, Yan Liu, Yan Liu, Yan Liu, Qiuyi Huo, Qiuyi Huo, Qiuyi Huo, Yang Sun, Yang Sun, Yang Sun, Zexu Chen, Zexu Chen, Zexu Chen, Wannan Jia, Wannan Jia, Wannan Jia, Xin Shen, Xin Shen, Xin Shen, Yalei Wang, Yalei Wang, Yalei Wang, Xinyao Chen, Xinyao Chen, Xinyao Chen, Tianhui Chen, Tianhui Chen, Tianhui Chen, Yongxiang Jiang, Yongxiang Jiang, Yongxiang Jiang, Rui Wang

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Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts by Kristen D. Brantley, Michael E. Jones, Rulla M. Tamimi, Bernard A. Rosner, Peter Kraft, Hazel B. Nichols, Katie M. O’Brien, Hans-Olov Adami, Amaia Aizpurua, Amy Berrington de González, William J. Blot, Tonje Braaten, Yu Chen, Jessica Clague DeHart, Laure Dossus, Sjoerd Elias, Renée T. Fortner, Montserrat Garcia-Closas, Inger T. Gram, Niclas Håkansson, Susan E. Hankinson, Cari M. Kitahara, Woon-Puay Koh, Martha S. Linet, Robert J. MacInnis, Giovanna Masala, Lene Mellemkjær, Roger L. Milne, David C. Muller, Hannah Lui Park, Kathryn J. Ruddy, Sven Sandin, Xiao-Ou Shu, Sandar Tin Tin, Thérèse Truong, Celine M. Vachon, Lars J. Vatten, Kala Visvanathan, Elisabete Weiderpass, Walter Willett, Alicja Wolk, Jian-Min Yuan, Wei Zheng, Dale P. Sandler, Minouk J. Schoemaker, Anthony J. Swerdlow, A. Heather Eliassen

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Novel prognostic scoring models for hepatitis B virus-related acute-on-chronic liver failure: A comparison with classical models by Hongyan Guo, Fengling Fang, Lin Lin, Zhaopei Guo, Lu Lai, Yue Shi, Tianbin Chen, Ruimin Lai, Qishui Ou, Ya Fu

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Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India by Raj Kishor Kampa

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Identifying species traits that predict vulnerability to climate change by Damien A. Fordham

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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

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