Using newsgroup headers to predict document relevance by Christopher Brown-Syed, William Morrissey

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DATA MINING APPROACH FOR PREDICTING STUDENT PERFORMANCE by Edin Osmanbegović, Mirza Suljić

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Validation of EGSYS Score in Prediction of Cardiogenic Syncope by Hamid Kariman, Sepideh Harati, Saeed Safari, Alireza Baratloo, Mehdi Pishgahi

“…The present study aimed to evaluate the accuracy of this predictive model. Methods. In this prospective cross-sectional study, screening performance characteristics of EGSYS-U (univariate) and EGSYS-M (multivariate) in prediction of cardiac syncope were calculated for syncope patients who were referred to the emergency department (ED). …”
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Advances and Mechanisms of RNA–Ligand Interaction Predictions by Chen Zhuo, Chengwei Zeng, Haoquan Liu, Huiwen Wang, Yunhui Peng, Yunjie Zhao

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Using correlation matrices in predicting airline performance by O. G. Feoktistova, D. Yu. Potapova

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Spatiotemporal Traffic Flow Prediction with KNN and LSTM by Xianglong Luo, Danyang Li, Yu Yang, Shengrui Zhang

“…The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation Systems. …”
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Climate Predictions: The Chaos and Complexity in Climate Models by D. T. Mihailović, G. Mimić, I. Arsenić

“…The concept in modeling of climate, as a complex system, seen through Gödel’s theorem and Rosen’s definition of complexity and predictability is discussed. Occurrence of chaos in computing the environmental interface temperature from the energy balance equation given in a difference form is pointed out. …”
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Preeclampsia in 2018: Revisiting Concepts, Physiopathology, and Prediction by J. Mayrink, M. L. Costa, J. G. Cecatti

“…The aim of this review is to discuss updates on the occurrence, concept, pathophysiology, repercussion, prevention, and prediction of preeclampsia.…”
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Climate Variability and Predictability at Various Time Scales by Youmin Tang, Soon-Il An, Wansuo Duan

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Broadcasting with Prediction and Selective Forwarding in Vehicular Networks by Jianjun Yang, Zongming Fei

“…In this paper, we develop a new approach based on prediction of future velocity and selective forwarding. …”
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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

“…Abstract Background The incorporation of machine learning is becoming more prevalent in the clinical setting. By predicting clinical outcomes, machine learning can provide clinicians with a valuable tool for refining precision medicine approaches and improving treatment outcomes. …”
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Exploring Seipin: From Biochemistry to Bioinformatics Predictions by Aquiles Sales Craveiro Sarmento, Lázaro Batista de Azevedo Medeiros, Lucymara Fassarella Agnez-Lima, Josivan Gomes Lima, Julliane Tamara Araújo de Melo Campos

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Prediction of the Flight Dynamics of Maneuvering Multirotor Aircraft by Devin Barcelos, Götz Bramesfeld, Steven Waslander

“…Specifically, when comparing the number of successful prediction timesteps into the future, the BEMT-based approach showed, on average, 44.4% longer successful predicting for positional velocities and 85.3% longer for predicting body rates. …”
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Review of the Predictive Value of Biomarkers in Sepsis Mortality by Nai Zhang, Yujuan Liu, Chuang Yang, Xinai Li

“…Nonetheless, identifying severe cases and predicting their prognoses remain challenging. In recent years, there has been considerable interest in utilising the C-reactive protein (CRP)/albumin ratio (CAR) to evaluate the condition and forecast the prognosis of patients with sepsis. …”
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PREDICTING THE LEARNING PATH TO LEARNER’S OPTIMUM COMPREHENSION by Ifeanyi Isaiah Achi, Chukwuemeka Odi Agwu, Christopher Chizoba Nnamene, Sylvester C. Aniobi, Ifebude Barnabas C., Kelechi Christian Oketa, Godson Kenechukwu Ezeh, John Otozi Ugah

“…This is to enable the improved system predict the best learning path to optimum comprehension for learners. …”
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Home Dialysis Prediction Using Artificial Intelligence by Caitlin K. Monaghan, PhD, Joanna Willetts, MS, Hao Han, MS, Sheetal Chaudhuri, PhD, Linda H. Ficociello, DSc, Michael A. Kraus, MD, Harold E. Giles, MD, Len Usvyat, PhD, Joseph Turk, MBA

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Prediction of Network Threats and Attacks by Mathematical Simulation by Daniil Doroshenko

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Temperature and Humidity Prediction Based on Machine Learning by Xiong Yanqi

“…These predictions are crucial for key sectors such as agriculture, energy management, and public safety. …”
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Polygenic height prediction for the Han Chinese in Taiwan by Chih-Hao Chang, Che-Yu Chou, Timothy G. Raben, Shih-Ann Chen, Yuh-Jyh Jong, Jeng-Yih Wu, Shun-Fa Yang, Hsiang-Cheng Chen, Yen-Lin Chen, Ming Chen, Gwo-Chin Ma, Chih-Yang Huang, Tso-Fu Wang, Sing-Lian Lee, Chen-Fang Hung, See-Tong Pang, Erik Widen, Yao-Ming Chang, Erh-Chan Yeh, Chun-Yu Wei, Chien-Hsiun Chen, Stephen D. H. Hsu, Pui-Yan Kwok

“…This method enhances the correlation between predicted and actual height and significantly reduces the discrepancies between predicted and actual height in both males and females.…”
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Liver diseases: epidemiology, causes, trends and predictions by Can Gan, Yuan Yuan, Haiyuan Shen, Jinhang Gao, Xiangxin Kong, Zhaodi Che, Yangkun Guo, Hua Wang, Erdan Dong, Jia Xiao

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