Predicting hypoglycemia in elderly inpatients with type 2 diabetes: the ADOCHBIU model by Rui-Ting Zhang, Yu Liu, Chao Sun, Quan-Ying Wu, Hong Guo, Gong-Ming Wang, Ke-Ke Lin, Jing Wang, Xiao-Yan Bai

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Urinary metabolite model to predict the dying process in lung cancer patients by Séamus Coyle, Elinor Chapman, David M. Hughes, James Baker, Rachael Slater, Andrew S. Davison, Brendan P. Norman, Ivayla Roberts, Amara C. Nwosu, James A. Gallagher, Lakshminarayan R. Ranganath, Mark T. Boyd, Catriona R. Mayland, Douglas B. Kell, Stephen Mason, John Ellershaw, Chris Probert

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Machine learning model to predict sepsis in ICU patients with intracerebral hemorrhage by Lei Tang, Ye Li, Ji Zhang, Feng Zhang, Qiaoling Tang, Xiangbin Zhang, Sai Wang, Yupeng Zhang, Siyuan Ma, Ran Liu, Lei Chen, Junyi Ma, Xuelun Zou, Tianxing Yao, Rongmei Tang, Huifang Zhou, Lianxu Wu, Yexiang Yi, Yi Zeng, Duolao Wang, Le Zhang

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Unplanned cesarean sections in advanced maternal age: A predictive model by Joyce Veenstra, Zoë Cohen, Fleurisca J. Korteweg, David P. van derHam, Simone M. Kuppens, Janna A. Kroese, Brenda B. Hermsen, Marije M. Kamphuis, Joost W. Vanhommerig, Maria G. vanPampus

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Mortality risk prediction model in AIDS patients with pneumocystis pneumonia in China by Xi Wang, Letian Liu, Wen Wang, Yang Zhang, Hui Chen, Zhangli Wang, Jianwei Li, Yue Gao, Yanqun Huang, Lijun Sun, Tong Zhang, Aixin Li

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Construction and validation of a presenteeism prediction model for ICU nurses in China by Jijun Wu, Yuxin Li, Yuxin Li, Xiaoli Liu, Yuting Fan, Ping Dai, Baixia Chen, Zhenfan Liu, Xian Rong, Xiaoli Zhong

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Construction of a prediction model for sarcopenic obesity based on machine learning by Mengru Xu, Mengru Xu, Jia Liu, Jia Liu, Song Hu, Song Hu, Tongxiao Luan, Tongxiao Luan, Yuting Duan, Yuting Duan, Aohua Wang, Aohua Wang, Ziwei Cui, Ziwei Cui, Jing Zhou, Yongjun Mao, Yongjun Mao

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Practitioner perspectives on informing decisions in One Health sectors with predictive models by Kim M. Pepin, Keith Carlisle, Richard B. Chipman, Dana Cole, Dean P. Anderson, Michael G. Baker, Jackie Benschop, Michael Bunce, Rachelle N. Binny, Nigel French, Suzie Greenhalgh, Dion RJ O’Neale, Scott McDougall, Fraser J. Morgan, Petra Muellner, Emil Murphy, Michael J. Plank, Daniel M. Tompkins, David TS Hayman

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Prediction of the monthly river water level by using ensemble decomposition modeling by Chaitanya Baliram Pande, Lariyah Mohd Sidek, Bijay Halder, Okan Mert Katipoğlu, Jitendra Rajput, Fahad Alshehri, Rabin Chakrabortty, Subodh Chandra Pal, Norlida Mohd Dom, Miklas Scholz

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Predictive model for assessing the prognosis of rhabdomyolysis patients in the intensive care unit by Yaxin Xiong, Hongyu Shi, Jianpeng Wang, Quankuan Gu, Yu Song, Weilan Kong, Jun Lyu, Mingyan Zhao, Mingyan Zhao, Xianglin Meng, Xianglin Meng, Xianglin Meng

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An easily acquirable predictive model for strangulated bowel obstruction: the BAR-N by Cuifeng Zheng, BaoWei Xu, Pingxia Lu, Weixuan Xu, Shenhui Lin, Xianqiang Chen, Junrong Zhang, Zhengyuan Huang

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Exploration of Predictive Models for Lean Services in Government Lean Banking Industry by Fazel Saydi, Morteza Musa Khani, Sedigheh Tootian, Shahrazad Tayaran

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A predictive model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis by Rui Huang, Rui Huang, Dan Wu, Dan Wu, Ling Wang, Ling Wang, Ping Liu, Ping Liu, Xiaoru Zhu, Xiaoru Zhu, Leqiu Huang, Leqiu Huang, Mengmeng Chen, Mengmeng Chen, Xin Lv, Xin Lv

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Development and validation of a Prediction Model for Chronic Thromboembolic Pulmonary Disease by Guixiang Liu, Jing Wen, Chunyi Lv, Mingjie Liu, Min Li, Kexia Fang, Jianwen Fei, Nannan Zhang, Xuehua Li, Huarui Wang, Yuanyuan Sun, Ling Zhu

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Machine learning model for random forest acute oral toxicity prediction by A.M. Elsayad, M.M. Zeghid, K.A. Elsayad, A.N. Khan, ِA.K.M. Baareh, A. Sadiq, S.A. Mukhtar, H.F. Ali, S. Abd El-kader

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The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

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A novel model for predicting immunotherapy response and prognosis in NSCLC patients by Ting Zang, Xiaorong Luo, Yangyu Mo, Jietao Lin, Weiguo Lu, Zhiling Li, Yingchun Zhou, Shulin Chen

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Developing and validating machine learning models to predict next-day extubation by Samuel W. Fenske, Alec Peltekian, Mengjia Kang, Nikolay S. Markov, Mengou Zhu, Kevin Grudzinski, Melissa J. Bak, Anna Pawlowski, Vishu Gupta, Yuwei Mao, Stanislav Bratchikov, Thomas Stoeger, Luke V. Rasmussen, Alok N. Choudhary, Alexander V. Misharin, Benjamin D. Singer, G. R. Scott Budinger, Richard G. Wunderink, Ankit Agrawal, Catherine A. Gao, NU SCRIPT Study Investigators

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Multidimensional predictive model for assessing clinical activity in thyroid eye disease by Yang Li, Yang Li, Yang Li, Guang-Hong Zhang, Guang-Hong Zhang, Guang-Hong Zhang, Man Tian, Man Tian, Man Tian, Chuan Hua, Chuan Hua, Chuan Hua, Chuan Hua, Jian-Ping Zhai, Jian-Ping Zhai, Jian-Ping Zhai, Yan-Qiong He, Yan-Qiong He, Yan-Qiong He, Xin-He Zuo, Xin-He Zuo, Xin-He Zuo, Xin-He Zuo

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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…It was indicated that the series of prediction models could be applicable to accurately predict the development of inflorescence. …”
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