Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study by Xiaowei Song, Jiayi Wang, Feifei He, Wei Yin, Weizhi Ma, Jian Wu

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EBV Reactivation-associated gene signature predicts poor prognosis in nasopharyngeal carcinoma by Qingshuang Luo, Jingyi Long, Longtai Hu, Moyed Alsaadawe, Oluwasijibomi Damola Faleti, Xiaoming Lyu

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Self‐Supervised Pre‐Training and Few‐Shot Finetuning for Gas‐Bearing Prediction by Long Han, Xinming Wu, Renjie Chen, Yunhua Shi, Zhanxuan Hu, Huijing Fang

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Dynamic–statistic combined ensemble prediction and impact factors of China's summer precipitation by X. Wang, Z. Yang, S. Li, Q. Li, G. Feng, G. Feng

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Circulating Micro-RNAs Predict the Risk of Recurrence in Triple-Negative Breast Cancer by Jouni Kujala, Maria Tengström, Sami Heikkinen, Mari Taipale, Veli-Matti Kosma, Jaana M. Hartikainen, Arto Mannermaa

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Sagittal alignment to predict efficiency in pulsed radiofrequency for cervical facet joint pain by Cheng-Yo Yen, Sheng-Min Lin, Hong Yu Chen, Shih-Wei Wang, Yu-Duan Tsai, Cien-Leong Chye, Te-Yuan Chen, Hao-Kuang Wang, Kuo-Wei Wang

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Identification of Lipophagy-Related Gene Signature for Diagnosis and Risk Prediction of Alzheimer’s Disease by Hongxiu Guo, Siyi Zheng, Shangqi Sun, Xueying Shi, Xiufeng Wang, Yang Yang, Rong Ma, Gang Li

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The Role of Frailty and Myosteatosis in Predicting All-Cause Mortality in Older Adults with Cancer by Efthymios Papadopoulos, Andy Kin On Wong, Sharon Hiu Ching Law, Sarah Costa, Angela M. Cheung, Dmitry Rozenberg, Shabbir M. H. Alibhai

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Prediction of future visceral adiposity and application to cancer research: The Multiethnic Cohort Study. by Lynne R Wilkens, Ann M Castelfranco, Kristine R Monroe, Bruce S Kristal, Iona Cheng, Gertraud Maskarinec, Meredith A Hullar, Johanna W Lampe, John A Shepherd, Adrian A Franke, Thomas Ernst, Loïc Le Marchand, Unhee Lim

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Pharmacogenetics polygenic response score predicts outcomes in aspirin-treated stroke patients by Rui-Nan Ma, Dong Zhang, Zhi-Zhang Li, Ying Ding, Xiao-Guang Zhang, Jie Xue, Dan-Zhuoma Ci, Yue-Ying Bai, Liang Hu, Dai-Zhan Zhou, Yun-Hua Yue

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Characterization of T-Cell Receptor Profiles Predicts Survival Situation in Patients with Hepatocellular Carcinoma by Fengyan Wang MD, Li Deng MD, Ziqiang Li MD, Qiwei Cao MD, Runze Jiang PhD, Changqing Xu MD, Jing Yang MD

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The changes of immune function after neuroblastoma chemotherapy and the prediction of potential immune targets by Yunfei Ma, Yan Su, Jing Huang, Wen Zhao, Cheng Huang, Jing Qin, Shengjie You, Yan Hu, Xin Ni

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Predicting a clinically narrow pelvis using neural network data analysis by A. M. Ziganshin, G. B. Dikke, V. A. Mudrov

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Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery by Jaeyeon Chung, Jinyoung Bae, Seyong Park, Dong Hyouk Kim, Youn Joung Cho, Karam Nam, Yunseok Jeon, Jae-Woo Ju

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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study by Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li

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An evaluation methodology for machine learning-based tandem mass spectra similarity prediction by Michael Strobel, Alberto Gil-de-la-Fuente, Mohammad Reza Zare Shahneh, Yasin El Abiead, Roman Bushuiev, Anton Bushuiev, Tomáš Pluskal, Mingxun Wang

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Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

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Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI by Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

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Copper resource demand prediction for low-carbon transition of China’s power system by HAO Min, WANG Peng, CHEN Weiqiang

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A Framework for User Traffic Prediction and Resource Allocation in 5G Networks by Ioannis Konstantoulas, Iliana Loi, Dimosthenis Tsimas, Kyriakos Sgarbas, Apostolos Gkamas, Christos Bouras

“…The models show high accuracy in the tasks performed, especially in the user traffic prediction task, where the models show an accuracy of over <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>99</mn><mo>%</mo></mrow></semantics></math></inline-formula>. …”
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