Machine learning evidence towards eradication of malaria burden: A scoping review by Idara JAMES, Veronica OSUBOR

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Isolated small airways obstruction predicts future chronic airflow obstruction: a multinational longitudinal study by Andre F S Amaral, Thorarinn Gislason, Frits Franssen, Cosetta Minelli, James Potts, Christer Janson, Rune Nielsen, Andrei Malinovschi, Padukudru Anand Mahesh, Jaymini Patel, Meriam Denguezli, Parvaiz Koul, Asaad Ahmed Nafees, Peter GJ Burney, Rana Ahmed, Sonia Buist, Ben Knox-Brown, Dhiraj Agarwal, Valentina Quintero Santofimio, Najlaa Mohammed Abass, Jayaraj BS, Sanjay K Juvekar, Stefanni Nonna M Paraguas

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Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

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Value of synthetic MRI in predicting treatment response to neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer by WANG Kangning, ZHU Lan, FENG Weiming, XIA Yihan, SHI Bowen, ZHANG Huan

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Modification of the Cardiac Renal Angina Index for Predicting Adverse Kidney Events After Pediatric Cardiac Surgery by Katherine F. Melink, Natalja L. Stanski, Emily Gorrell, Jeffrey A. Alten, Kevin A. Pettit, Stuart L. Goldstein, Huaiyu Zang, Nicholas J. Ollberding, Rajit K. Basu, Shina Menon, Megan SooHoo, Katja M. Gist

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Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma by Anahita Fathi Kazerooni, Adam Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana M. Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R. Lueder, Saksham Phul, Mateusz Koptyra, Phillip B. Storm, Jeffrey B. Ware, Yuanquan Song, Christos Davatzikos, Jessica B. Foster, Sabine Mueller, Michael J. Fisher, Adam C. Resnick, Ali Nabavizadeh

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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

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Weight and Blood‐Based Markers of Cachexia Predict Disability, Hospitalization and Worse Survival in Cancer Immunotherapy Patients by Steven D. Tran, Noah J. Forrest, Vijeeth Guggilla, Geovanni M. Perottino, Jodi L. Johnson, Jeffrey Sosman, Ishan Roy, Theresa L. Walunas

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Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning by Rongpei Li, Yufang Zhang, Heqi Sun, Shenggeng Lin, Guihua Jia, Yitian Fang, Chen Zhang, Xiaotong Song, Jianwei Zhao, Lyubin Hu, Yajing Yuan, Xueying Mao, Jiayi Li, Aman Kaushik, Dandan An, Dongqing Wei

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Characteristics of gut microbiota and metabolites in extrahepatic cholangiocarcinoma and their prognostic value for resectable lesions by Cheng Ye, Cheng Ye, Bo Zhang, Yanyan Lin, Yanyan Lin, Fangfang Han, Fangfang Han, Huaqing Shi, Chunlu Dong, Chunlu Dong, Wence Zhou, Wence Zhou

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Research on Optimization Method of Coal Blending for Carbon Emission Reduction Based on Bi-level Programming by CHEN Siqin, ZHU Yinan, LI Xiaochen, WANG Xuehai

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Physical study of the response of tidal flat development to the reduction in the input of Yellow River sediment into the sea by Feng Yi, Feng Yi, Chao Zhan, Qing Wang, Xueyan Li, Kezhao Fang

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Lifetime Prediction Analysis of Proton Exchange Membrane Fuel Cells Based on Empirical Mode Decomposition—Temporal Convolutional Network by Chao Zheng, Changqing Du, Jiaming Zhang, Yiming Zhang, Jun Shen, Jiaxin Huang

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Coupled Dynamics Modeling and Validation of Maglev Vehicle and Bridge Systems by Fei Zhou, Xiaolong Li

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Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction by Sarah Ayad, Hamdi A. Al-Jamimi, Ammar El Kheir

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Integrating molecular, biochemical, and immunohistochemical features as predictors of hepatocellular carcinoma drug response using machine-learning algorithms by Marwa Matboli, Marwa Matboli, Hiba S. Al-Amodi, Abdelrahman Khaled, Radwa Khaled, Marwa Ali, Hala F. M. Kamel, Hala F. M. Kamel, Manal S. Abd EL Hamid, Hind A. ELsawi, Eman K. Habib, Eman K. Habib, Ibrahim Youssef

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Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospe... by Rigers Cama, Rama Vancheeswaran, Tejal Vaghela, Harry Mitchell, Miriam Schechter, Andrew Barlow, Michael Shaw, William Evans, Hakim Ghani, Alessio Navarra, Phyoe K Pyae, Ben Critchlow, Nazril Nordin

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A Unified Framework for Fault and Performance Prediction Using Spatio-Temporal Geometric Features Based on STSFE by Dong-Hyun Kang, A-Youn Yang, Jong-Min Lee, Jong-Gu Lee

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Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

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Physics-based machine learning for predicting urban air pollution using decadal time series data by Cog Cao, Ramit Debnath, R Michael Alvarez

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