Maximising Acute Kidney Injury Alerts--A Cross-Sectional Comparison with the Clinical Diagnosis. by Simon Sawhney, Angharad Marks, Tariq Ali, Laura Clark, Nick Fluck, Gordon J Prescott, William G Simpson, Corri Black

“…We identified and staged AKI alerts using the new national NHS England AKI algorithm and compared this with nephrologist diagnosis across hospital settings.…”
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Artificial intelligence applied for the diagnosis of absence epilepsy with simultaneously tested patient’s consciousness level in ictal event by M. B. Mironov, M. O. Abramov, V. V. Kondratenko, I. R. Vafin, S. Yu. Smirnov, S. E. Vaganov, A. A. Ivanov

“…The work on creating an algorithm was carried out during joint doctor/engineer cooperation. …”
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Unitanony: a fine-grained and practical anonymization framework for better data utility by Shuguang Yuan, Jing Yu, Tengfei Yang, Chi Chen

“…Therefore, we designed a data structure unit to generalize records at low costs and implemented a skipping strategy to execute the algorithm within an acceptable time. Besides, our algorithm can support many models. …”
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Dealing with the Outlier Problem in Multivariate Linear Regression Analysis Using the Hampel Filter by Amira Wali Omer, Taha Hussein Ali

“…In this study, proposes a Hampel filter-modified algorithm to dynamically detect and mitigate extreme values, enhancing parameter estimation and predictive performance. …”
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Distributed semi-supervised partial multi-dimensional learning via subspace learning by Zhen Xu, Weibin Chen

“…The lack of high-quality labeled data may negatively affect their learning performance. …”
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The use of complex structure splines in roadway design by V. I. Struchenkov, D. A. Karpov

“…The algorithm for determining the number of elements of a spline with clothoids and constructing an initial approximation was also published earlier. …”
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Cross-validation of the safe supplement screener (S3) predicting consistent third-party-tested nutritional supplement use in NCAA Division I athletes by Kinta D. Schott, Avaani Bhalla, Emma Armstrong, Ryan G. N. Seltzer, Floris C. Wardenaar

“…IntroductionThis cross-sectional study aimed to cross-validate an earlier developed algorithm-based screener and explore additional potential predictors for whether athletes will use third-party-tested (TPT) supplements.MethodsTo justify the initial model behind the supplement safety screener (S3) algorithm which predicts whether athletes will use TPT supplements, a cross-validation was performed using this independent dataset based on responses of a large group of collegiate NCAA DI athletes. …”
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Cyclical hybrid imputation technique for missing values in data sets by Kurban Kotan, Serdar Kırışoğlu

“…In cases where there is missing data, the performance of machine learning models may differ depending on the amount of data contained in the data set. …”
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Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View by Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi

“…To realize the new algorithm, two main processes are executed as follows: (1) Considering that different decision classes may require different key condition attributes, the ensemble selector is applied among different decision classes; (2) to accelerate the process of attribute reduction, only the finest and the coarsest granularities are employed. …”
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Developing a Sleep Algxorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study by Jeffrey M Cochran

“…This algorithm may be used for a more complete understanding of well-being for patients with SMI in a real-world setting, without the need for PSG and a sleep lab.…”
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A window into the mind-brain-body interplay: Development of diagnostic, prognostic biomarkers, and rehabilitation strategies in functional motor disorders. by Marialuisa Gandolfi, Angela Sandri, Sara Mariotto, Stefano Tamburin, Anna Paolicelli, Mirta Fiorio, Giulia Pedrotti, Paolo Barone, Maria Teresa Pellecchia, Roberto Erro, Sofia Cuoco, Immacolata Carotenuto, Claudia Vinciguerra, Annibale Botto, Lucia Zenere, Elisa Canu, Elisa Sibilla, Massimo Filippi, Elisabetta Sarasso, Federica Agosta, Michele Tinazzi, Group Collaborators Consortium

“…<h4>Results</h4>Data collection for the present study started in May 2023, and by May 2025, data collection will conclude.…”
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Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning. by Jiayi Wu, Yong-Bei Ma, Charles Congdon, Bevin Brett, Shuobing Chen, Yaofang Xu, Qi Ouyang, Youdong Mao

“…However, traditional algorithms for unsupervised classification, such as K-means clustering and maximum likelihood optimization, may classify images into wrong classes with decreasing signal-to-noise-ratio (SNR) in the image data, yet demand increased computational costs. …”
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Sparse Representation Based on Tunable Q-Factor Wavelet Transform for Whale Click and Whistle Extraction by Hailan Chen, Jiaquan Yan, Naveed Ur Rehman Junejo, Jie Qi, Haixin Sun

“…Whale sounds may mix several elements including whistle, click, and creak in the same vocalization, which may overlap in time and frequency, so it leads to conventional signal separation techniques challenging to be applied for the signal extraction. …”
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Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…Due to factors such as limited battery capacity and device heterogeneity, UE may fail to efficiently complete the local training task, and some of them may become stragglers with high-quality data. …”
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Anomaly detection in virtual machine logs against irrelevant attribute interference. by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Virtual machine logs are generated in large quantities. Virtual machine logs may contain some abnormal logs that indicate security risks or system failures of the virtual machine platform. …”
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Spectrum Efficient Resource Allocation of NOMA Downlink System With MMSE Receiver by Rui Zhu, Jianxin Guo, Feng Wang, Baoqin Lin, Yarong Chen

“…However, since the effective SIC usually requires complex algorithm and leads to higher processing delay, it may not be accepted by the B5G wireless communication due to the limited hardware resource of the mobile terminal and strict real-time request of service. …”
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e-Fuel: An EV-Friendly Urgent Electrical Charge-Sharing Model with Preference-Based Off-Grid Services by Ahmad Nahar Quttoum, Mohammed N. AlJarrah, Fawaz A. Khasawneh, Mohammad Bany Taha

“…Hence, it may take a while for sufficient coverage to exist. …”
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Prospective external validation of the automated PIPRA multivariable prediction model for postoperative delirium on real-world data from a consecutive cohort of non-cardiac surgery... by Mary-Anne Kedda, Kelly A Reeve, Nayeli Schmutz Gelsomino, Michela Venturini, Felix Buddeberg, Martin Zozman, Reto Stocker, Philipp Meier, Marius Möller, Simone Pascale Wildhaber, Benjamin T Dodsworth

“…Its integration into clinical workflows may enhance POD prevention efforts and optimise resource allocation in perioperative care.…”
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Criteria for identifying acute respiratory events based on FEV1 decline in home spirometry for lung transplant patients by Yoshikazu Shinohara, Miho Yamaguchi, Muhammad Wannous, Yan Luo, Kazumichi Yamamoto, Masaaki Sato

“…Conclusion The proposed algorithm using LT-FollowUp data shows promise for the real-time detection of respiratory events in lung transplant patients, potentially facilitating early interventions that may prevent chronic lung allograft dysfunction. …”
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Drill pipe counting for underground drilling rigs based on miner pose recognition by LIU Jie, YANG Cheng, CHENG Zeming, SUN Xiaohu, XU Hao, SHENG Guoyu

“…To address the above issues, a drill pipe counting algorithm for underground drilling rigs based on miner operation pose recognition named the BlazePose-DPC algorithm, was proposed. …”
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