QSOFA SCORE FOR PREDICTION OF SEPSIS OUTCOME IN THE PATIENTS STAYING IN INTENSIVE CARE WARDS (results of the russian multi-center trial of RISES) by M. N. Astafieva, V. A. Rudnov, V. V. Kulabukhov, V. A. Bagin, N. A. Zubareva, M. A. Tribulev, S. Yu. Mukhacheva

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Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study by Tao Thi Tran, Jeonghee Lee, Junetae Kim, Sun-Young Kim, Hyunsoon Cho, Jeongseon Kim

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A Junction Temperature Prediction Method Based on Multivariate Linear Regression Using Current Fall Characteristics of SiC MOSFETs by Haihong Qin, Yang Zhang, Yu Zeng, Yuan Kang, Ziyue Zhu, Fan Wu

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Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation. by Hamed Shourabizadeh, Dionne M Aleman, Louis-Martin Rousseau, Katina Zheng, Mamatha Bhat

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Neutral-current background induced by atmospheric neutrinos at large liquid-scintillator detectors: III. Comprehensive prediction for low energy neutrinos by Jie Cheng, Min Li, Yu-Feng Li, Gao-Song Li, Hao-Qi Lu, Liang-Jian Wen

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A Measure–Correlate–Predict Approach for Transferring Wind Speeds from MERRA2 Reanalysis to Wind Turbine Hub Heights by José A. Carta, Diana Moreno, Pedro Cabrera

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Hyperspectral Method Integrated with Machine Learning to Predict the Acidity and Soluble Solid Content Values of Kiwi Fruit During the Storage Period by Mansourialam Amir, Rasekh Mansour, Ardabili Sina, Dadkhah Majid, Mosavi Amir

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Study on heart rate recovery index to predict maximum oxygen uptake in healthy adults aged 30 to 60 years old by Guoqing Miao, Guoqing Miao, Qi Yan, Houyuan Zhu, Fantai Li

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Burden of neurological diseases in Asia, from 1990 to 2021 and its predicted level to 2045: a Global Burden of Disease study by Rujing Yang, Xinyu Liu, Zhexuan Zhao, Yan Zhao, Xiaoqing Jin

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Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification by Neny Sulistianingsih, Galih Hendro Martono

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Hydro-morphodynamic numerical modeling indicates risk zones for riverbed clogging by Federica Scolari, Mohammed Fadul, Sebastian Schwindt

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Numerical Modeling of Tsunamis Generated by Subaerial, Partially Submerged, and Submarine Landslides by Tomoyuki Takabatake, Ryosei Takemoto

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A simplified frailty index and nomogram to predict the postoperative complications and survival in older patients with upper urinary tract urothelial carcinoma by Jianyong Liu, Jianyong Liu, Haoran Wang, Haoran Wang, Pengjie Wu, Pengjie Wu, Jiawen Wang, Jiawen Wang, Jianye Wang, Jianye Wang, Huimin Hou, Huimin Hou, Jianlong Wang, Jianlong Wang, Yaoguang Zhang, Yaoguang Zhang

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A Hybrid Method Combining Variational Mode Decomposition and Deep Neural Networks for Predicting PM2.5 Concentration in China by Senlin Li, Bo Tang, Xiaowu Deng

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Predicting the Mental Health of Undergraduate University Students in Northeast India with Academic Psychological Capital: A Cross-sectional and Descriptive Study by Fayaz Ahmad Paul, Indrajeet Banerjee, Arif Ali, Nurnahar Ahmed

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Prediction of esophagogastric anastomotic leakage by nomogram combined with preoperative nutritional status and clinical factors: a retrospective study of 775 patients by Jiang-shan Huang, Li-tao Yang, Jia-fu Zhu, Qi-hong Zhong, Fei-long Guo, Zhen-yang Zhang, Jiang-bo Lin

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Prediction and Application of Spatiotemporal Distribution of Large Passenger Flow in Urban Rail Transit During Crowd Dispersal of Large Scale Events by ZHOU Feng, WANG Wenyu, ZHAO Zhou, WEN Xuguang

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Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition by Ahmed Elbeltagi, Okan Mert Katipoğlu, Veysi Kartal, Ali Danandeh Mehr, Sabri Berhail, Elsayed Ahmed Elsadek

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A data-driven impact-based analysis stemming from first responders reports to predict wind damage to urban trees by Irene Garcia-Marti, Jouke H. S. de Baar, Jan Willem Noteboom, Rob Sluijter, Gerard van der Schrier

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Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge. by Jennifer A Bishop, Hamza A Javed, Rasheed El-Bouri, Tingting Zhu, Thomas Taylor, Tim Peto, Peter Watkinson, David W Eyre, David A Clifton

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