The effect of the Zahoric model in learning some kinetic sentences by M. Maison Mohammed Dr. Luma Sameer

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Comparative Evaluation of Artificial Intelligence Models for Contraceptive Counseling by Anisha V. Patel, Sona Jasani, Abdelrahman AlAshqar, Rushabh H. Doshi, Kanhai Amin, Aisvarya Panakam, Ankita Patil, Sangini S. Sheth

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THE CREDIT STRATEGIES OF THE RUSSIANS AS THE REFLECTION OF THE MODEL OF FINANCIAL BEHAVIOUR by A. V. Yarasheva, S. V. Makar, S. B. Reshetnikov

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Predicting 30-day in-hospital mortality in ICU asthma patients: a retrospective machine learning study with external validation by Yuanshuo Ge, Guangdong Wang, Tingting Liu, Wenwen Ji, Jiaolin Sun, Yaxin Zhang

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SaeGraphDTI: drug–target interaction prediction based on sequence attribute extraction and graph neural network by Qiaosheng Zhang, Zhenyu Sun, Zhaoman Zhong, Huihui Yang, Yalong Wei, Junjie Xu

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Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. by Sathish Kaveripakam, Ravikumar Chinthaginjala

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Stress–Strain Prediction for Steam-Cured Steel Slag Fine Aggregate Concrete Based on Machine Learning Algorithms by Chuanshang Wang, Di Hu, Qiang Jin

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A Metaheuristic-Trained Wavelet Neural Network for Predicting of Soil Liquefaction Based on the Standard Penetration Test Results by Ali Reza Ghanizadeh, Ahmad Aziminejad

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Plasma phospho-tau217 as a predictive biomarker for Alzheimer’s disease in a large south American cohort by Neetesh Pandey, Zikun Yang, Basilio Cieza, Dolly Reyes-Dumeyer, Min Suk Kang, Rosa Montesinos, Marcio Soto-Añari, Nilton Custodio, Lawrence S. Honig, Giuseppe Tosto

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Predictive value of early neutrophil-to-lymphocyte ratio and C-reactive protein in pediatric steroid-sensitive nephrotic syndrome by Gulinuer Maimaititusvn, Gulinuer Maimaititusvn, Gulinuer Maimaititusvn, Nilupaer Jvnaiti, Maierhaba Kulaixi, Fang Liu, Fang Liu

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Enhanced Alzheimer’s Disease Prediction Through Integration of Protein-Protein Interaction Data and Meta-Learning by Hansa J. Thattil, M. N. Arunkumar, Francis Antony

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Machine learning algorithms to predict heart failure with preserved ejection fraction among patients with premature myocardial infarction by Jing-xian Wang, Chang-ping Li, Zhuang Cui, Yan Liang, Yu-hang Wang, Yu Zhou, Yin Liu, Jing Gao, Jing Gao, Jing Gao, Jing Gao

“…The final model included ten variables, which were Brain natriuretic peptide (BNP) > 100pg/ml, SYNTAX Score > 14.5, Age, Monocyte to Lymphocyte Ratio (MLR) > 0.3, Hematocrit (HCT) < 45%, Heart rate (HR) > 75 bpm, Body Mass Index (BMI) ≥ 24 kg/m2, C-reactive Protein to Lymphocyte Ratio (CLR) > 2.83, Hypertension and Fibrinogen (Fg) > 4 g/L.ConclusionsThe explainable prediction model established based on the XGBoost algorithm can accurately predict the risk of in-hospital HFpEF in PMI patients and is available at https://hfpefpmi.shinyapps.io/apppredict/. …”
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Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors by Juan Wei, Feihong Lin, Tian Jin, Qian Yao, Sheng Wang, Di Feng, Xin Lv, Wen He

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Prediction method of oil-water interface between injection and production wells in fault-controlled fractured-cavity reservoirs by WANG Yuanzheng, CAO Renyi, JIA Pin

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Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study by Zhihui Chen, Hongqing Zhu, Hongmin Shu, Jianbo Zhang, Kangchen Gu, Wenjun Yao

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Combining genetic and non-genetic factors to predict the risk of pancreatic cancer in patients with new-onset diabetes mellitus by Yu Zhou, Zhuo Wu, Liangtang Zeng, Rufu Chen

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Prediction of in-hospital mortality in patients with ST-segment elevation acute myocardial infarction after percutaneous coronary intervention by B. I. Geltser, K. I. Shahgeldyan, I. G. Domzhalov, N. S. Kuksin, E. A. Kokarev, V. N. Kotelnikov, V. Yu. Rublev

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Evaluating the prognostic value of microbial communities in predicting recurrence of laryngeal carcinoma: a multicenter case-control study by Chi-Yao Hsueh, Xiaohui Yuan, Huiying Huang, Yujie Shen, Qiang Huang, Weida Dong, Danhui Li, Hui-Ching Lau, Xinhui Mao, Simin Liang, Lei Tao, Ming Zhang, Ji Sun, Hongli Gong

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Prediction Method of Tangerine Peel Drying Moisture Ratio Based on KAN-BiLSTM and Multimodal Feature Fusion by Qi Ren, Jiandong Fang, Yudong Zhao

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Radiomic features at contrast-enhanced CT predict proliferative hepatocellular carcinoma and its prognosis after transarterial chemoembolization by Haifeng He, Zhichao Feng, Junhong Duan, Wenzhi Deng, Zuowei Wu, Yizi He, Qi Liang, Yongzhi Xie

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