Ultrasound-based radiomic nomogram for predicting the invasive status of breast cancer: a multicenter study by Dan Yan, Jingwen Xie, Wanling Cheng, Wen Xue, Yaohong Den, JianXing Zhang

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Groundwater Level Prediction and Earthquake Precursor Anomaly Analysis Based on TCN-LSTM-Attention Network by Xinfang Chen, Lijia Yang, Xin Liao, Hanqing Zhao, Shiwei Wang

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Use machine learning to predict bone metastasis of esophageal cancer: A population-based study by Jun Wan, Jia Zhou

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Predicting quality measure completion among 14 million low-income patients enrolled in medicaid by Sadiq Y. Patel, Michael L. Barnett, Sanjay Basu

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Developing a Nomogram for Predicting the Probability of Shoulder Redislocation after the First Episode in Young Patients by Chih-Kai Hong, Chin Kuo, Chia-Li Chang, Wei-Ren Su, Ta-Wei Tai

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Predicting neonatal mortality using ensemble machine learning algorithms in the case of Ethiopian Rural Areas by Melaku Alelign Mengstie, Misganaw Telake Telele

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Feature Selection and Hyper-parameter Tuning Technique using Neural Network for Stock Market Prediction by Karanveer Singh, Rahul Tiwari, Prashant Johri, Ahmed A. Elngar

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Research on Simulation and Dynamic Pressure Prediction of Pipeline Transient Conditions Based on Fluent and Deep Learning by Liu Feiyan, Lv Mou, Dong Shen, Li Hang, Lu Chenggang

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A Reinforcement Learning Approach Combined With Scope Loss Function for Crime Prediction on Twitter (X) by Liu Yang, Jiang Guofan, Zhang Yixin, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak

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Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 by Nina Effenberger, Nicole Ludwig

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A Hybrid Approach to Traffic Incident Management: Machine Learning-Based Prediction and Patrol Optimization by Yusuf Sait Turkan, Mesut Ulu

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Watershed Health Prediction based on Surface Water Quality Variables (Case Study: Taleghan Watershed) by Payam Ebrahimi, Ali Salajegheh, Mohsen Mohseni Saravi, Arash Malekian, Amir Sadoddin

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Machine learning, clinical-radiomics approach with HIM for hemorrhagic transformation prediction after thrombectomy and treatment by Sheng Hu, Junyu Liu, Jiayi Hong, Yuting Chen, Ziwen Wang, Jibo Hu, Shiying Gai, Xiaochao Yu, Jingjing Fu

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T-RippleGNN: Predicting traffic flow through ripple propagation with attentive graph neural networks. by Anning Ji, Xintao Ma

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Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction by Lei Li, Xue Gao

“…First, we propose a new workload prediction method—named the adaptive two-stage multi-neural network based on long short-term memory (LSTM)—which can adaptively route prediction tasks to the corresponding LSTM sub-model according to the workload change trend (i.e., uphill and downhill categories), in order to improve the predictive accuracy. …”
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SOuLMuSiC, a novel tool for predicting the impact of mutations on protein solubility by Simone Attanasio, Jean Kwasigroch, Marianne Rooman, Fabrizio Pucci

“…It is freely available for academic use at http://babylone.ulb.ac.be/SoulMuSiC/.…”
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Fetal Health Prediction From Cardiotocography Recordings Using Kolmogorov–Arnold Networks by W. K. Wong, Filbert H. Juwono, Catur Apriono, Ismi Rosyiana Fitri

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Construction and evaluation of nomogram for risk prediction of cognitive impairment in chronic obstructive pulmonary disease comorbidity by JiaFeng Luo, Wen Yang, Yang Liu, HongLian Ji, XinRan Li, Jing Bai, TieJun Liu, WeiBin Chen, Li Xiao, GuoXin Mo, JingShan Bai, CongHui Liu, WenQiang Li, AiShuang Fu, YanLei Ge

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Prediction of fatal cardiovascular events in patients with newly diagnosed non-small cell lung cancer by A. A. Filippov, N. G. Lozhkina, E. I. Shefer, P. S. Ruzankin, M. I. Voevoda

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Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning by Sarah Dandou, Kriti Amin, Véronique D’Hondt, Jérôme Solassol, Olivier Dereure, Peter J. Coopman, Ovidiu Radulescu, Holger Fröhlich, Romain M. Larive

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