Personalized prediction of esophageal cancer risk based on virtually generated alcohol data by Oswald Ndi Nfor, Pei-Ming Huang, Ming-Fang Wu, Ke-Cheng Chen, Ying-Hsiang Chou, Mong-Wei Lin, Ji-Han Zhong, Shuenn-Wen Kuo, Yu-Kwang Lee, Chih-Hung Hsu, Jang-Ming Lee, Yung-Po Liaw

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Theoretical Prediction of the Size and Lifetime of Evaporating Sneeze Droplets in a Confined Space: A Guideline to Control of COVID-19 Virus Transmission by A. L. Bahramian

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Dataset of near-infrared (NIR) spectral data for prediction of organic matter and total carbon in agricultural soil using homemade NIR spectrometerMendeley Data by Natchanon Santasup, Parichat Theanjumpol, Choochad Santasup, Sila Kittiwachana, Nipon Mawan, Nuttapon Khongdee

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AI-derived CT biomarker score for robust COVID-19 mortality prediction across multiple waves and regions using machine learning by Kristof De Smet, Dieter De Smet, Peter De Jaeger, Jannes Dewitte, Geert Antoine Martens, Nico Buls, Johan De Mey

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Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole‐Slide Histopathology Images: A Retrospective Multicenter Study by Yuhan Liao, Xinhua Chen, Shupeng Hu, Bing Chen, Xinghua Zhuo, Hao Xu, Xiaojin Wu, Xiaofeng Zeng, Huimin Zeng, Donghui Zhang, Yunfei Zhi, Liang Zhao

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Altered huntingtin−chromatin interactions predict transcriptional and epigenetic changes in Huntington's disease by Jocelynn R. Pearl, Amol C. Shetty, Jeffrey P. Cantle, Dani E. Bergey, Robert M. Bragg, Sydney R. Coffey, Holly B. Kordasiewicz, Leroy E. Hood, Nathan D. Price, Seth A. Ament, Jeffrey B. Carroll

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Prediction of 5-year postoperative survival and analysis of key prognostic factors in stage III colorectal cancer patients using novel machine learning algorithms by Wei Zhang, Yan Li, Jinghan Jia, Yuhang Yang, Yuyuan Hu, Yanhong Wang, Jinxi Wang

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Model order reduction of boiler system using nature-inspired metaheuristic optimization of PID controller by Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad, Saifullah Khalid

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Harnessing machine learning to predict and prevent proximal junctional kyphosis and failure in adult spinal deformity surgery: A systematic review by Paolo Brigato, Gianluca Vadalà, Sergio De Salvatore, Leonardo Oggiano, Giuseppe Francesco Papalia, Fabrizio Russo, Rocco Papalia, Pier Francesco Costici, Vincenzo Denaro

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Investigating the impact of meteorological parameters on daily soil temperature changes using machine learning models by Farrokh Asadzadeh, Somayeh Emami, Ahmed Elbeltagi, Muhammed Ernur Akiner, Vahid Rezaverdinejad, Farshid Taran, Ali Salem

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Expanding the frontiers of additive manufacturing: Higher microstructure identification through probability modeling by Muhammad Shoaib, Muhammad Idrees, Hakeem Ullah, Aasim Ullah Jan, Touqeer Ahmad, Ali Akgül, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

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Research progress of mine 3D geological modeling: Principle, method and application by Cun ZHANG, Sheng JIA, Ye HUA, Qi SONG

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Application of Protein Structure Encodings and Sequence Embeddings for Transporter Substrate Prediction by Andreas Denger, Volkhard Helms

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Flood hazard zones prediction using machine-learning-based geospatial approach in lower Niger River basin, Nigeria by Adedoyin Benson Adeyemi, Akinola Adesuji Komolafe

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Predicting 30‐day return hospital admissions in patients with COVID‐19 discharged from the emergency department: A national retrospective cohort study by David G. Beiser, Zachary J. Jarou, Alaa A. Kassir, Michael A. Puskarich, Marie C. Vrablik, Elizabeth D. Rosenman, Samuel A. McDonald, Andrew C. Meltzer, D. Mark Courtney, Christopher Kabrhel, Jeffrey A. Kline, the RECOVER Investigators

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Amide proton transfer-weighted habitat radiomics: a superior approach for preoperative prediction of lymphovascular space invasion in cervical cancer by Jie Li, Yatong Li, Lianze Du, Qinghai Yuan, Qinghe Han

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Predicting ICU Delirium in Critically Ill COVID-19 Patients Using Demographic, Clinical, and Laboratory Admission Data: A Machine Learning Approach by Ana Viegas, Cristiana P. Von Rekowski, Rúben Araújo, Miguel Viana-Baptista, Maria Paula Macedo, Luís Bento

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A novel nomogram for predicting carotid atherosclerosis risks in diabetic patients by Jing Liu, Shoukun Dou, Yuan Zhang, Xiaoyun Zeng, Yingnan Kang, Qianna Xu, Xiangchen Liu, Ping Zhao

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Soil spectral inference in the Western Highveld, South Africa: evaluating spiking as a tool for improved modeling accuracy by A Kock, G M Van Zijl

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A Comparative Study of Machine Learning Models for Short-Term Load Forecasting by Etna Vianita, Henri Tantyoko

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