Multi-omics prediction of axillary treatment response and tumour microenvironment alterations in lymph node-positive luminal breast cancer by Teng Ma, Zirui Wang, Zhe Zhou, Yongmei Wang, Tianyi Ma, Xiangping Liu, Yan Mao, Haibo Wang

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Early dynamics of clinical and laboratory parameters predict primary refractory disease in patients with metastatic urothelial carcinoma receiving atezolizumab by Guru Sonpavde, Paul J Catalano, Franziska Michor, Christopher J Graser, Thomas O McDonald

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A unique statistical framework to predict the health of a machine by utilizing the vibration features of rolling element bearing data by Saima Bhatti, Fozia Shaikh, Asif Mansoor, Asif Ali Shaikh

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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

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A Novel Approach Utilizing Bagging, Histogram Gradient Boosting, and Advanced Feature Selection for Predicting the Onset of Cardiovascular Diseases by Norma Latif Fitriyani, Muhammad Syafrudin, Nur Chamidah, Marisa Rifada, Hendri Susilo, Dursun Aydin, Syifa Latif Qolbiyani, Seung Won Lee

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Natural Language Processing-Based Deep Learning to Predict the Loss of Consciousness Event Using Emergency Department Text Records by Hang A. Park, Inyeop Jeon, Seung-Ho Shin, Soo Young Seo, Jae Jun Lee, Chulho Kim, Ju Ok Park

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Enhancing mortality prediction after coronary artery bypass graft: a machine learning approach utilizing EuroScore by Emad Hijazi

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A Method for Predicting the Remaining Life of Lithium-Ion Batteries Based on an Improved Dempster–Shafer Evidence Theory Framework by Tongrui Zhang, Hao Sun

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Prediction of asthma outpatients using cumulative particulate matter and machine learning algorithms: a case study in Adiyaman, Turkey by Abdurrahman Özbeyaz, Mustafa Yıldırım, Fatih Tufaner

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A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction by SongTao Zhang, LiHong Yang

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Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks by Songbin Liu, Zhaoshun Jiang, Pei Ye, Feidong Lv, Fei Tao, Yuxi Cai, Lina Yi, Shihong Li, Guoqing Wu, Jun Zhang, Weidong Gu

“…However, effective preoperative prediction methods remain lacking. We developed a machine learning model using graph theory analysis of resting-state functional connectivity networks to predict postoperative visual cognitive impairment. …”
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Artificial Neural Network Approach for Predicting Enzymatic Hydrolysis of Steam Exploded Pine Wood Chip in Mild Alkaline Pretreatment by Hyeon Cheol Kim, Si Young Ha, Jae-Kyung Yang

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Development of a clinical-radiological nomogram for predicting severe postoperative peritumoral brain edema following intracranial meningioma resection by Chen Bo, Geng Ao, Lu Siyuan, Lu Siyuan, Wu Ting, Wang Dianjun, Zhao Nan, Shan Xiuhong, Deng Yan, Sun Eryi

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Preoperative DBT-based radiomics for predicting axillary lymph node metastasis in breast cancer: a multi-center study by Shuyan He, Biao Deng, Jiaqi Chen, Jiamin Li, Xuefeng Wang, Guanxing Li, Siyu Long, Jian Wan, Yan Zhang

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Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism. by Shuo Hu, Jing Hu, Xiaolong Zhang, Shuting Jin, Xin Xu

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Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study. by Liyu Lin, Yirui Xie, Zhuangteng Lin, Cuiyan Lin, Yichun Yang

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Enhanced Malignancy Prediction of Small Lung Nodules in Different Populations Using Transfer Learning on Low-Dose Computed Tomography by Jyun-Ru Chen, Kuei-Yuan Hou, Yung-Chen Wang, Sen-Ping Lin, Yuan-Heng Mo, Shih-Chieh Peng, Chia-Feng Lu

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Metro Foundation Pit Deformation Prediction Method Based on CNN-GRU Neural Network under Incomplete Data Condition by ZHOU Yi, WANG Zhangqiong, ZOU Yuangeng, CAI Yonghui, XU Xiaoya, ZHAO Qilin

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Uncertainty-Guided Prediction Horizon of Phase-Resolved Ocean Wave Forecasting Under Data Sparsity: Experimental and Numerical Evaluation by Yuksel Rudy Alkarem, Kimberly Huguenard, Richard W. Kimball, Stephan T. Grilli

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Multi‐Omic Analysis Reveals a Lipid Metabolism Gene Signature and Predicts Prognosis and Chemotherapy Response in Thyroid Carcinoma by Yuqin Tu, Yanchen Chen, Linlong Mo, Guiling Yan, Jingling Xie, Xinyao Ji, Shu Chen, Changchun Niu, Pu Liao

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