Deep learning-based ranking method for subgroup and predictive biomarker identification in patients by Zihuan Liu, Yihua Gu, Xin Huang

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The Prediction of Multistep Traffic Flow Based on AST-GCN-LSTM by Fan Hou, Yue Zhang, Xinli Fu, Lele Jiao, Wen Zheng

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Investigation of predictive parameters for recurrence in patients undergoing electrical cardioversion for atrial fibrillation by Levent Pay, Ozan Tezen, Tuğba Çetin, Ahmet Çağdaş Yumurtaş, Kıvanç Keskin, Şeyda Dereli, Ertan Arter, Yusuf Oflu, Faysal Şaylık, Berke Cenktug Korucu, Tufan Çınar, Mert İlker Hayıroğlu

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Sialyltransferase-related genes as predictive factors for therapeutic response and prognosis in cervical cancer by Jia Shao, Can Zhang, Yaonan Tang, Aiqin He, Xiangyan Cheng

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New Predictive Equations for Resting Energy Expenditure in Normal to Overweight and Obese Population by Ali M. Almajwal, Mahmoud M. A. Abulmeaty

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TSL:predicting popularity of Facebook content based on tie strength by Xiaomeng WANG, Binxing FANG, Hongli ZHANG, Xing WANG

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Corrosion area detection and depth prediction using machine learning by Eun-Young Son, Dayeon Jeong, Min-Jae Oh

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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation stud... by Ying Tang, Ting Wu, Xiufen Wang, Xi Wu, Anqun Chen, Guochun Chen, Chengyuan Tang, Liyu He, Yuting Liu, Meiyu Zeng, Xiaoqin Luo, Shaobin Duan

“…The SHapley Additive exPlanations method provided interpretability for the DNN models. A web-based tool was established to help clinicians stratify the risk of PC-AKI (https://xydsbakigroup.streamlit.app/).Conclusion The explainable DNN models serve as promising tools for predicting PC-AKI in CKD patients undergoing coronary angiography and intervention, which is crucial for risk stratification and clinical descion-making.…”
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Predicting the structure and stability of oxide nanoscrolls from dichalcogenide precursors by Adway Gupta, Arunima K. Singh

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Assessing the Predictive Accuracy of Popular Comorbidity Indices in Total Ankle Arthroplasty Outcomes by Weston E. McDonald BS, Alexander S. Guareshi BS, Joshua L. Morningstar BS, Daniel J. Scott MBA, MD, Christopher E. Gross MD

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A SVM Based Spectrum Prediction Scheme for Cognitive Radio by Yuan Xu, Huaxiang Lu, Xu Chen

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FATIGUE CRACK GROWTH PREDICTION BASED ON IPSO-PF ALGORITHM by JIN Ting, WANG Xiaolei, LIU Yu, YUAN Jianming

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Assessing the Predictive Accuracy of Popular Comorbidity Indices in Total Ankle Arthroplasty Outcomes by Weston McDonald BS, Alexander Guareschi MD, Joshua Morningstar BS, Christopher Gross MD, Daniel Scott MD, MBA

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Predictive nomogram of high-risk patients with active tuberculosis in latent tuberculosis infection by Kui Li, Siyi Liu, Yingli He, Renyu Ran

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Flusion: Integrating multiple data sources for accurate influenza predictions by Evan L. Ray, Yijin Wang, Russell D. Wolfinger, Nicholas G. Reich

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Fatigue Failure Analysis and Life Prediction of Elliptical Flexible Hinge by Jianjun Wu, Yian Jia, Jihui Luo

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Research on the Prediction of Pipelines Corrosion Rate Based on GA-LSSVM by CHEN Yong-hong, SU Yong-sheng, HU Ping

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Prediction of Reservoir Bank Collapse Based on the Limit Equilibrium Theory by Xuetong Ma, Qipeng Li, Hao Zhang, Debin Gao, Jiao Long, Zhengzheng Li

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Coordinated management of electricity storages and distributed generation plant with predictive controllers in a power supply system with reduced electricity quality by Yu. N. Bulatov, A. N. Kryukov, K. V. Suslov, V. V. Kizhin

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Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD by Gabriel Cubillos, Javier Perez-Valenzuela, Herman Aguirre, Luz Martínez, Lorena Castro, Gabriel Mezzano, Claudio A. Perez

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