The Utilization of Naive Bayes and C.45 in Predicting The Timeliness of Students’ Graduation by Agung Wibowo, Danny Manongga, Hindriyanto Dwi Purnomo

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A Local–Global Graph KAN for Multi‐Class Prediction of PPI by Minghui Liu, Ying Qu

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Phase diagram construction and prediction method based on machine learning algorithms by Shengkun Xi, Jiahui Li, Longke Bao, Rongpei Shi, Haijun Zhang, Xiaoyu Chong, Zhou Li, Cuiping Wang, Xingjun Liu

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Accuracy of early warning scores for predicting clinical worsening in COPD patients by Enrique Castro-Portillo, Joan B. Soriano, Raúl López-Izquierdo, Carlos del Pozo Vegas, José L. Martín-Conty, Irene Sánchez Soberón, Juan F. Delgado Benito, Begoña Polonio-López, Manuel Sánchez-de-la-Torre, Miguel Á. Castro Villamor, Ancor Sanz-García, Francisco Martín-Rodríguez

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Identifying risk factors and predicting long COVID in a Spanish cohort by Antonio Guillén-Teruel, Jose L. Mellina-Andreu, Gabriel Reina, Enrique González-Billalabeitia, Ramón Rodriguez-Iborra, José Palma, Juan A. Botía, Alejandro Cisterna-García

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Predicting the Risk of Loneliness in Children and Adolescents: A Machine Learning Study by Jie Zhang, Xinyi Feng, Wenhe Wang, Shudan Liu, Qin Zhang, Di Wu, Qin Liu

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Genetic architecture and risk prediction of gestational diabetes mellitus in Chinese pregnancies by Yuqin Gu, Hao Zheng, Piao Wang, Yanhong Liu, Xinxin Guo, Yuandan Wei, Zijing Yang, Shiyao Cheng, Yanchao Chen, Liang Hu, Xiaohang Chen, Quanfu Zhang, Guobo Chen, Fengxiang Wei, Jianxin Zhen, Siyang Liu

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A common eigenmode postulate and a Λ-only model predict an exact Hubble constant that prefers SH0ES result: H0,80th=73.62694±0.00083 km s−1Mpc−1 by Jeshua Mortensen

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Shared suffering predicts prosocial commitment among Turkish earthquake survivors by Sevgi Demiroglu, Claire White, Dimitris Xygalatas, Danielle Morales, Andrew Ainsworth, Harvey Whitehouse

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Text mining of outpatient narrative notes to predict the risk of psychiatric hospitalization by Vedat Verter, Fan E, Daniel Frank, Angelos Georghiou

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A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number by Dalin Shi, Tianyu Pan, Xingyu Zhu, Zhiping Li

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A Comparative Study of Machine Learning Methods for Pyrolysis Yield Prediction by Seyed Mohammad Razavi, Rahmat Sotudeh Gharebagh, Navid Mostoufi, Jamal Chaouki, K.D.P. Nigam

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Predicting M-banking adoption: the moderating role of age in technology acceptance by Kusairi Kusairi, Anisya Sukmawati, Nanang A.S, Moh Shadiqur Rahman

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Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction by Anna M. Marcinkiewicz, Wenhao Zhang, Aakash Shanbhag, Robert J. H. Miller, Mark Lemley, Giselle Ramirez, Mikolaj Buchwald, Aditya Killekar, Paul B. Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, David Ouyang, Daniel S. Berman, Damini Dey, Piotr J. Slomka

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Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques by D. R. Manjunath, J. J. Lohith, S. Selva Kumar, Abhijit Das

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An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness by Caroline König, Pedro Copado, Alfredo Vellido, Àngela Nebot, Cecilio Angulo, Maria Lamarca, Vanessa Acuña, Fabrice Berna, Steffen Moritz, Łukasz Gawęda, Susana Ochoa

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Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment by Paulauskaite-Taraseviciene Agne, Sutiene Kristina, Dimsa Nojus, Valiukeviciene Skaidra

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Industrial-scale prediction of cement clinker phases using machine learning by Sheikh Junaid Fayaz, Néstor Montiel-Bohórquez, Shashank Bishnoi, Matteo Romano, Manuele Gatti, N. M. Anoop Krishnan

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SIAT: Pedestrian trajectory prediction via social interaction-aware transformer by Chengdong Wang, Jianming Wang, Wenbo Gao, Lei Guo

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Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

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