Derivation and validation of a risk calculator for the prediction of incidence of complications following repair of Achilles Tendon Rupture by Maya Hemdanieh, Majd Mzeihem, Anas El Zouhbi, Hani Tamim, Mohamad Nassereddine

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DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions by Chao Cao, Mengli Li, Chunyu Wang, Lei Xu, Quan Zou, Yansu Wang, Wu Han

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Does patients' age predict their clinical outcomes following non-infectious epiglottitis? A systematic review. by Alaa Safia, Uday Abd Elhadi, Rabie Shehadeh, Raed Farhat, Majd Asakly, Nidal El Khatib, Ashraf Khater, Taiser Bishara, Saqr Massoud, Shlomo Merchavy

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Machine learning-assisted high-throughput prediction and experimental validation of high-responsivity extreme ultraviolet detectors by R. A. W. Ayyubi, Mei Xian Low, Salar Salimi, Majid Khorsandi, M. Mosarof Hossain, Hurriyat Arooj, Shoaib Masood, M. Husnain Zeb, Nasir Mahmood, Qiaoliang Bao, Sumeet Walia, Babar Shabbir

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A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China by Jiayi Yang, Zihao Chen, Xinxin Dai, Liyao Jiang, Liyan Dai, Yu Zhao

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Evaluating the Stress State and the Load-Bearing Fraction as Predicted by an In Vivo Parameter Identification Method for the Abdominal Aorta by Jerker Karlsson, Jan-Lucas Gade, Carl-Johan Thore, Carl-Johan Carlhäll, Jan Engvall, Jonas Stålhand

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A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques by Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Rohit Bansal, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid

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Predicting Pain Perception Based on Psychological Distress in Patients with Rheumatoid Arthritis: The Mediating Role of Sleep Quality by Hosein Etemadi Mehr, Hanieh Mohammadizadeh, Fatemeh Rohi, Sajjad Motamed Monfared, Fatemeh Rajabi

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Does the Nutrient Adequacy Ratio (NAR) Predict Metabolic Profile and Glycemic Status Among the Obese Population? by Mehdi Ghaffari Sarghein, Mahdieh Abbasalizad Farhangi, Negin Nikrad

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Artificial intelligence and machine learning techniques for predicting neuropathic pain in patients with cancer: A systematic review by Haneen A Taha, Ruqayya S Zeilani, Rabia H Haddad, Maysoon S Abdalrahim

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Machine Learning-Driven Prediction of Brain Age for Alzheimer’s Risk: APOE4 Genotype and Gender Effects by Carter Woods, Xin Xing, Subash Khanal, Ai-Ling Lin

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Identifying and ranking non-traditional risk factors for cardiovascular disease prediction in people with type 2 diabetes by Katarzyna Dziopa, Nishi Chaturvedi, Folkert W. Asselbergs, Amand F. Schmidt

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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques by Muhamad Ashfaq, Imran Khan, Rana Fezan Afzal, Dilawar Shah, Shujaat Ali, Muhammad Tahir

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Predicting the development of diabetes using the product of triglycerides and glucose: the Chungju Metabolic Disease Cohort (CMC) study. by Seung-Hwan Lee, Hyuk-Sang Kwon, Yong-Moon Park, Hee-Sung Ha, Seung Hee Jeong, Hae Kyung Yang, Jin-Hee Lee, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Kun-Ho Yoon

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Machine learning based obesity and aging related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma by Yongheng Chen, Xiaoxia Yu, Wencan Xu, Anqi Huang, Zhengbing Li

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Research on Price Prediction of Stock Price Index Based on Combination Method with Introduction of Options Market Information by Yi Hu, Xin Sui, Qi Zhang, Wei Zhang

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Risk prediction and treatment assessment in glioma patients using SEER database: a prospective observational study by Yan Shao, XinRong Li, ZeMing Wang, JunQuan Zhu

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Can self-compassion and mindfulness predict psychological wellbeing in individuals with endometriosis? Findings from an online survey by Federica Facchin, Francesca Grosso, Emanuela Saita, Paolo Vercellini, Francesco Pagnini

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Prediction Method and Prospect of Unit Consumption of Main High Energy Consuming Products Based on Technical Analysis by Qing LIU, Chenglong ZHANG, Huawen XIONG, Yuyan WENG, Hua ZHANG, Hong WANG, Qingkun TAN, Li YAO

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Dynamic Response Prediction of Railway Bridges Considering Train Load Duration Using the Deep LSTM Network by Sui Tan, Xiandong Ke, Zhenhao Pang, Jianxiao Mao

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