How accurately can supervised machine learning model predict a targeted psychiatric disorder? by Haitham Jahrami, Amir H. Pakpour, Waqar Husain, Achraf Ammar, Zahra Saif, Ali Husain Alsalman, Adel Aloffi, Khaled Trabelsi, Seithikurippu R. Pandi-Perumal, Michael V. Vitiello

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A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

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Modeling the physiological response of flow in groups: a mathematical approach by David Antonio Rosas, Natalia Padilla-Zea, Daniel Burgos

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Frailty prediction in patients with chronic digestive system diseases: based on multi-task learning model by Sihan Hu, Xiaochuan Guo, Xiaobao Wang, Zixiang Jin, Chenyang Zhou, Lang Tu, Zhoulong Shi, Weiyi Ao, Xin Zhang, Jay Zheng, Xuezhi Zhang, Hui Ye

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Constructing a predictive model of negative academic emotions in high school students based on machine learning methods by Shumeng Ma, Ning Jia, Xiuchao Wei, Wanyi Zhang

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A neural network regression model for predicting student learning success based on prior achievements by Dorrer Mikhail

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Development of a Predictive Model for Estimating Stocks of Medicinal Plants Using GIS Tools on the Example of the Middle Urals by A. Yu. Turyshev, V. D. Belonogova, V. G. Luzhanin

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Model for Prediction of Testing Time of a Computer Program for Automated Reliability Evaluation of Semiconductor Devices by V. O. Kaziuchyts, S. M. Borovikov, E. N. Shneiderov

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Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

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A comparative approach of machine learning models to predict attrition in a diabetes management program. by Samantha Kanny, Grisha Post, Patricia Carbajales-Dale, William Cummings, Janet Evatt, Windsor Westbrook Sherrill

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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

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From Social to Academic: Associations and Predictions Between Different Types of Peer Relationships and Academic Performance Among College Students by Jiadong Tian, Jiali Lin, Dagang Li

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Construction of a new biological age model based on NHANES database and its predictive role for mortality outcomes by YE Tingting, GAO Pan

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Predictive model of the relationship between social support, body image perception, and physical activity among university students by Xuejiao Gao, Xiaolin Wang, Chen Soon Chee, Shamsulariffin bin Samsudin, Muhammad Zarif Hassan, Luhong Ma, Pan Liu, Yuming Zhang

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Cumulative Distribution-Based Method for Pavement Performance Modeling by Chenhao Tu, Wenya Ye, Rui Zhang, Xudong Qian, Qun Yang

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Suicide risk prediction for Korean adolescents based on machine learning by Haitao Wang, Han Yuan, Yunong Zhang, Qixuan Wang, Zeng Gao, Mujuan Zhao

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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

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Machine learning to predict postdialysis fatigue in patients undergoing hemodialysis by Yuhan Zhang, Jue Guo, Na Yang, Xiangyun Li, Yuxiang Liu, Meiqin Yan, Peng Shen

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Predicting Freshman Recruitment Rates: A Comparative Analysis of Metropolitan and Non-Metropolitan Universities in South Korea by Hyung Jong Na, Ha-Young Shin, Yongsun Cho

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