Predictive Model for In-Hospital Death in Older Patients with Type 2 Diabetes Mellitus: A Multicenter Retrospective Study in Southwest China by Tang Y, Zhang Z, Yu Y, He Y, Yuan Y, Wu X, Xu Q, Niu J, Wu X, Tan J

“…An interactive web-based calculator was implemented for clinical application (https://cqykdxtjt.shinyapps.io/in_hospital_death/).Conclusion: The prediction model developed in this study demonstrated robust discrimination, calibration, and clinical utility. …”
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Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model by Wang Zhuo, Zheng Haifeng, Liang Linlang

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Development and validation of a clinical prediction model for hospitalization after emergency department admission in patients with cancer by Z.L.R. Kaplan, D. van Klaveren, J.G.A. den Duijn, R.J.C.G. Verdonschot, N. Wlazlo, J.G.J.V. Aerts, J. Bromberg, H.F. Lingsma, J. Alsma, M.M.E.M. Bos

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Low hemoglobin is associated with postoperative cerebral infarction in moyamoya disease: development of a predictive model based on low hemoglobin by Haitao Wu, Tingxuan Wang, Fangbao Li, Yue Bao, Bin Lu, Luo Li

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Wastewater-based effective reproduction number and prediction under the absence of shedding information by Hiroki Ando, Kelly A. Reynolds

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A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model by Jihao Liu, Guoyan Zheng, Weixin Yan

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Energy Consumption Prediction in Iran: A Hybrid Machine Learning and Genetic Algorithm Method with Sustainable Development Considerations by Seyyed Mohammad Mehdi Fatemi Bushehri, Saeed Dehghan Khavari, Seyed Hossein Mirjalili, Hamid Babaei Meybodi, Mohsen Sardari Zarchi

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Determining Factors Affecting Acceptance of Autonomous Vehicles using Statistical and Machine Learning Models by Uneb Gazder, Eman Algherbal

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Determining Factors Affecting Acceptance of Autonomous Vehicles using Statistical and Machine Learning Models by Uneb Gazder, Eman Algherbal

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Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models by Olushina Olawale Awe, Peter Njoroge Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho, Olanrewaju Samuel Oyejide

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Development of a Clinical Framework–Anastomotic Leakage Prediction Score (CF–ALPS) After Colorectal Surgery by Fırat Mülküt, Cem Batuhan Ofluoğlu

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Research Status and Development Direction of Formation Damage Prediction and Diagnosis Technologies by Zhe Sun, Zhangxing Chen

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Predicting post-hospital lethality in males and females with acute coronary syndrome by R. T. Saygitov, M. G. Glezer, D. P. Sementsov, I. N. Sokolova, N. A. Malygina

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Remotely sensed data contribution in predicting the distribution of native Mediterranean species by Ahmed R. Mahmoud, Emad A. Farahat, Loutfy M. Hassan, Marwa Waseem A. Halmy

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Digitized material design and performance prediction driven by high-throughput computing by Hanhui Li, Jiao Yang, Jingxu Yao, Jingxu Yao, Chuanxin Sheng

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Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach by Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, Raphael Doh-Nani, Seidu Mohammed, David Kojo Amakye

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A prediction model for predicting relapsed-free survival of early-stage invasive breast cancer patients with hormone receptor positive based on Ki67, HER2 and TOP2A by Dawei Yuan, Rulan Ma, Haixia Ye, Wenbo Liu

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Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign by Tomasz Kur, Justyna Śliwińska‐Bronowicz, Malgorzata Wińska, Henryk Dobslaw, Jolanta Nastula, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Sara Bruni, Lue Chen, Mike Chin, Sujata Dhar, Robert Dill, PengShuo Duan, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Songtao Han, Robert Heinkelmann, ChengLi Huang, Christopher Irrgang, Jacek Kudrys, Jia Li, Marcin Ligas, Lintao Liu, Weitao Lu, Volker Mayer, Wei Miao, Maciej Michalczak, Sadegh Modiri, Michiel Otten, Todd Ratcliff, Shrishail Raut, Jan Saynisch‐Wagner, Matthias Schartner, Erik Schoenemann, Harald Schuh, M. Kiani Shahvandi, Benedikt Soja, Xiaoqing Su, Daniela Thaller, Maik Thomas, Guocheng Wang, Yuanwei Wu, CanCan Xu, Xueqing Xu, Xinyu Yang, Xin Zhao, Zhijin Zhou

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An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study by Zhong Peng, Shuzhu Zhong, Xinyun Li, Fengyi Yu, Zixu Tang, Chunyuan Ma, Zihao Liao, Song Zhao, Yuan Xia, Haojun Fu, Wei Long, Mingxing Lei, Zhangxiu He

“…The objective of the study was to establish and validate an artificial intelligence (AI) model to predict mortality among hemodialysis patients. …”
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Crossformer-Based Model for Predicting and Interpreting Crop Yield Variations Under Diverse Climatic and Agricultural Conditions by Ruolei Zeng, Jialu Li, Zihan Li, Qingchuan Zhang

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