Deep Learning for Anomaly Detection in CNC Machine Vibration Data: A RoughLSTM-Based Approach by Rasım Çekik, Abdullah Turan

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Predicting financial default risks: A machine learning approach using smartphone data by Shinta Palupi, Gunawan, Ririn Kusdyawati, Richki Hardi, Rana Zabrina

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The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

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Combining Region-Guided Attention and Attribute Prediction for Thangka Image Captioning Method by Fujun Zhang, Wendong Kang, Wenjin Hu

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Explanatory AI Predicts the Diet Adopted Based on Nutritional and Lifestyle Habits in the Spanish Population by Elena Sandri, Germán Cerdá Olmedo, Michela Piredda, Lisa Ursula Werner, Vincenzo Dentamaro

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Combined predictive value of uric acid and serum lipid for stroke events in non-valvular atrial fibrillation patients by Yuqi Tang, Baiqing Song, Tesfaldet H. Hidru, Yiheng Yang, Fei Liu, Jiatian Li, Chenglin Li, Yuhang Wen, Zhongzheng Yang, Ying Chen, Xiaolei Yang, Yunlong Xia

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Predictive value and robustness of the stress hyperglycemia ratio combined with hypertension for stroke risk: evidence from the CHARLS cohort by Yaxuan He, Yu Cao, Rong Xiang, Fang Wang

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Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal Framework by Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Alicia Ying Taing, Ran Zhang

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Expanding the Reach of Structured EHR Data with Clinical Notes by Seda Bilaloglu, Vincent J Major, Himanshu Grover, Isabel Metzger, Yindalon Aphinyanaphongs

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Circulating bile acid profiles characteristics and the potential predictive role in clear cell renal cell carcinoma progression by Qi-Chao Wang, Jing-Yi Cao, Guang-Yue Wang, Heng Wang, Hua Peng, Qian Wang, Zhi-Xiang Yin, Jie-Zhou, Ping-An Chang, Gui-Hua Zhang, Wen-Tao Yao, Jia-Cheng Wu, Chang-Song Pei

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Uric Acid to Albumin Ratio: A Predictive Marker for Acute Kidney Injury in Isolated Tricuspid Valve Surgery by Yaoji Liao, Liuyuan Li, Jie Li, Feifei Zhao, Chongjian Zhang

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Directed attention influences optimality of top-down and bottom-up multi-modal perceptual integration by Clement Abbatecola, Henry Kennedy, Kenneth Knoblauch

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Predictive value of preoperative systemic immune-inflammation index and prognostic nutrition index in patients with epithelial ovarian cancer by Jingping Chen, Lu Jin, Rui Luo, Xiaofei Zhang, Yizhi Chen, Ze Han, Tianfeng Liu

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Aberrant lipid profiles and lymphocyte counts in systemic sclerosis population, reassessing predictive value for concurrent cardiovascular diseases by Ronghong Guo, Ronghong Guo, Jinfang Gao, Jinfang Gao, Yanli Yang, Yanli Yang, Ke Xu, Ke Xu

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Prediction and uncertainty analysis of pollution flux of typical chlorinated hydrocarbon contaminated sites by Hongyu YAO, Ronghui AI, Xueyuan KANG, Jichun WU, Xiaoqing SHI

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Enhancing high pressure pulsation test bench performance: a machine learning approach to failure condition tracking by Aslı Aksoy, Ömer Haki

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Correction: Wang, M.; Li, T. Pest and Disease Prediction and Management for Sugarcane Using a Hybrid Autoregressive Integrated Moving Average—A Long Short-Term Memory Model. <i>Agr... by Minghui Wang, Tong Li

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Melanocortin-1 receptor expression as a predictive factor for postoperative outcomes in melanoma patients: a retrospective study by Tian Xiang, Tian Xiang, Haiying Li, Xiaowei Wang, Danke Su

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Assessing the predictive power of nutritional indices on all-cause and cardiovascular mortality in hemodialysis patients: a longitudinal study by Qian Wang, Zengchun Ye, Jialing Rao, Wenbo Zhao, Jianqiang Liu, Yanru Chen, Juncheng Xiang, Xin Zhen, Jiawen Li, Yunfang Zhang, Xianrui Dou, Zhaoyong Hu, Jun Zhang, Hui Peng

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Predictive potential of combined secretomics and image-based morphometry as a non-invasive method for selecting implanting embryos by Andrea Palomar, Roberto Yagüe-Serrano, Juan Vicente Martínez-Sanchis, Ignacio Iniesta, Alicia Quiñonero, Pedro José Fernández-Colom, Ana Monzó, José María Rubio, Inmaculada Molina, Francisco Domínguez

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