Lightweight Models for Influenza and COVID-19 Prediction in Heterogeneous Populations: A Trade-Off Between Performance and Level of Detail by Andrey Korzin, Vasiliy Leonenko

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Inclusion of blood pressure parameter increases predictive capability of severe obstructive sleep apnea: A decision tree approach by Hsiang‐Ju Cheng, Chung‐Yi Li, Cheng‐Yu Lin

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Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study by Yi Liu, Yehua Xu, Lixia Guo, Zhongbin Chen, Xueqin Xia, Feng Chen, Li Tang, Hua Jiang, Caixia Xie

“…This study aimed to develop and externally validate machine learning models for predicting malnutrition within 24 h of intensive care unit (ICU) admission, culminating in a web-based malnutrition prediction tool for clinical decision support. …”
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Improved Gravity Model for Network Passenger Flow Distribution Prediction in the Initial Stage of the Existing Urban Rail Transit Extension Lines by LI Jiayi, ZHANG Longhao, SONG Xuyang, XU Ruihua

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Thermal Error Prediction in High-Power Grinding Motorized Spindles for Computer Numerical Control Machining Based on Data-Driven Methods by Quanhui Wu, Yafeng Li, Zhengfu Lin, Baisong Pan, Dawei Gu, Hailin Luo

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Metabolic modeling of endosymbiont genome reduction on a temporal scale by Keren Yizhak, Tamir Tuller, Balázs Papp, Eytan Ruppin

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Development and validation of a simple clinical nomogram for predicting infectious diseases in pediatric kidney transplantation recipients: a retrospective study by Li Li, Meng Fu, Changshan Wang, Yuxin Pei, Lizhi Chen, Liping Rong, Yuanyuan Xu, Zhilang Lin, Yuanquan Qiu, Xiaoyun Jiang, Mengjie Jiang

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Predicting Sugar Yield From Sugarcane Using Machine Learning for Jaggery Production by Kathirvel Narayanasamy, Ilayaraja Venkatachalam

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OPTIMIZATION OF NEURAL NETWORK CLASSIFIERS BY LEVERAGING THE SEQUENTIAL FEATURE ENGINEERING FOR ROBUST WATER QUALITY PREDICTION SYSTEM by Maheswara Rao V V R, Silpa N, Kranthi Addanki, Shiva Shankar Reddy, Ramachandra Rao Kurada, Pachipala Yellamma

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The Effect of Failure Criteria on Liquefaction and Pore Pressure Prediction in Non-Plastic Soils by Carmine P. Polito

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Developing a Simple Conceptual Causal Model for Predicting Early Recurrence and Mortality after Curative Surgery for Colorectal Cancer Patients by Samira Ahmadi, Shayesteh Alinia, Zahra Mohammadi, Farzaneh Rastkar Shirvandeh, Mohammad Asghari-Jafarabadi, Leila Mahmoudi, Malihe Safari, Ghodratollah Roshanaei

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Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning by Bagdaulet Kenzhaliyev, Timur Imankulov, Aksultan Mukhanbet, Sergey Kvyatkovskiy, Maral Dyussebekova, Nurdaulet Tasmurzayev

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GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

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A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function by Yangchao He, Jiong Li, Lei Shao, Chijun Zhou, Xiangwei Bu

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Prediction of Lupus Classification Criteria via Generative AI Medical Record Profiling by Sandeep Nair, Gerald H. Lushington, Mohan Purushothaman, Bernard Rubin, Eldon Jupe, Santosh Gattam

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Interstitial lung disease in patients with systemic scleroderma: approaches to predicting lesion volume by D. V. Khorolsky, A. A. Klimenko, E. S. Pershina, N. M. Babadaeva, A. A. Kondrashov, N. A. Shostak, E. P. Mikheeva, M. P. Mezenova, E. V. Zhilyaev

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Customer Lifetime Value Modeling via Two Stage Selected Trees Ensembles by Zardad Khan, Amjad Ali, Saeed Aldahmani, Henrik Nordmark, Berthold Lausen

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Leveraging machine learning models in evaluating ADMET properties for drug discovery and development by Magesh Venkataraman, Gopi Chand Rao, Jeevan Karthik Madavareddi, Srinivas Rao Maddi

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Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach by Ji Hyun Lee, Hyun Woo Lee, Hyo Jin Lee, Tae Yun Park, Kwang Nam Jin, Dong Hyun Kim, Borim Ryu

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Evaluating Prediction Performance: A Simulation Study Comparing Penalized and Classical Variable Selection Methods in Low-Dimensional Data by Edwin Kipruto, Willi Sauerbrei

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