An illustration of multi-class roc analysis for predicting internet addiction among university students. by Nishat Tasnim Thity, Atikur Rahman, Adisha Dulmini, Mst Nilufar Yasmin, Rumana Rois

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Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050 by Ying Zhao, Jiabin Ma, Yuelei Li, Kui Cheng, Meiling Zhang, Zhuqing Liu, Fan Yang

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Early and Late Fusion for Multimodal Aggression Prediction in Dementia Patients: A Comparative Analysis by Ioannis Galanakis, Rigas Filippos Soldatos, Nikitas Karanikolas, Athanasios Voulodimos, Ioannis Voyiatzis, Maria Samarakou

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Prediction of human pathogenic start loss variants based on self-supervised contrastive learning by Jie Liu, Henghui Fan, Na Cheng, Yansen Su, Junfeng Xia

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Prediction of lung overdistension during mechanical ventilation using micro-RNA and gene expression by Cecilia López-Martínez, Paula Martín-Vicente, Laura Amado-Rodríguez, Inés López-Alonso, Margarita Fernández-Rodríguez, Adrián González-López, Pablo Martínez-Camblor, Juan Gómez, Andrew J. Boyle, Cecilia M. O’Kane, Daniel F. McAuley, James N. Tsoporis, Claudia dos Santos, Guillermo M. Albaiceta

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Prediction of Optimum Operating Parameters to Enhance the Performance of PEMFC Using Machine Learning Algorithms by Arunadevi M, Karthikeyan B, Anirudh Shrihari, Saravanan S, Sundararaju K, R Palanisamy, Mohamed Awad, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Hany S. Hussein, Mahmoud M. Hussein, Ahmed I. Omar

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Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review by Diana-Margarita Córdova-Esparza, Juan Terven, Julio-Alejandro Romero-González, Karen-Edith Córdova-Esparza, Rocio-Edith López-Martínez, Teresa García-Ramírez, Ricardo Chaparro-Sánchez

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SERPINA3 predicts long-term neurological outcomes and mortality in patients with intracerebral hemorrhage by Pei Zheng, Zhihui Qi, Bin Gao, Yang Yao, Jingshan Chen, Hengri Cong, Yue Huang, Fu-Dong Shi

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Neighbourhood, Route and Workplace-Related Environmental Characteristics Predict Adults' Mode of Travel to Work. by Alice M Dalton, Andrew P Jones, Jenna R Panter, David Ogilvie

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Radiomics Analysis of Breast MRI to Predict Oncotype Dx Recurrence Score: Systematic Review by Nathan Kim, Richard Adam, Takouhie Maldjian, Tim Q. Duong

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Sedimentary microfacies prediction based on multi-point geostatistics under the constraint of INPEFA curve by Xudong Wang, Zicheng Yang, Xibao Liu, Chengyuan Yuan

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Identification of Dominant Factors and Scenario Prediction of Ecosystem Services in the Jialing River Basin, China by Xingyue Guo, Tian Wang, Zhanbin Li, Jiao Zhang, Kunxia Yu, Peng Li, Yingying Geng, Heng Wu, Ganggang Ke

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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

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Emerging and Pioneering AI Technologies in Aesthetic Dermatology: Sketching a Path Toward Personalized, Predictive, and Proactive Care by Diala Haykal

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SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration by Han Wei

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Adenosine metabolic signature in circulating CD4+ T cells predicts remission in rheumatoid arthritis by Dennis W Lendrem, John D Isaacs, Ann W Morgan, Amy E Anderson, Arthur G Pratt, Philip M Brown, Najib Naamane

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The role of vital signs in predicting mortality risk in elderly patients visiting the emergency department by Karin Erwander, Björn Agvall, Kjell Ivarsson

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Monocyte–lymphocyte ratio predicts cardiovascular diseases death in individuals with type 2 diabetes by Han Li, Yixuan Li, Wenwen Guo, Xinwei Liu, Yuhao Wang, Tianshu Zeng, Wen Kong

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National and subnational trends in obesity prevalence in Iran: a Spatiotemporal study with future predictions by Maryam Shirvani Shiri, Hassan Karami, Amin Ghanbarnezhad, Najmeh Bordbar, Ali Mouseli, Sara Emamgholipour

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Predicting brain age for veterans with traumatic brain injuries and healthy controls: an exploratory analysis by John P. Coetzee, John P. Coetzee, Xiaojian Kang, Xiaojian Kang, Victoria Liou-Johnson, Victoria Liou-Johnson, Victoria Liou-Johnson, Ines Luttenbacher, Srija Seenivasan, Elika Eshghi, Daya Grewal, Siddhi Shah, Frank Hillary, Emily L. Dennis, Emily L. Dennis, Maheen M. Adamson, Maheen M. Adamson, Maheen M. Adamson

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