PREDICTIVE SIGNIFICANCE OF ARTERIAL STIFFNESS PARAMETERS IN EVALUATION OF CARDIOMETABOLIC RISK IN OBESITY PATIENTS by O. Yu. Druzhilova, M. A. Druzhilov, T. Yu. Kuznetsova

“…Aim. To evaluate a possibility to apply the arterial stiffness parameters as prediction instrument for cardiometabolic risk stratification in obesity patients.Material and methods. …”
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The role of financial analysis in evaluating the performance of industrial enterprises to predict financial failure by Talal AL- Kassar, Mourad Kouachi, Ammar Nasruldeen

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Development and evaluation of a predictive model of upper gastrointestinal bleeding in liver cirrhosis by Jin Peng, Huiru Jin, Ningxin Zhang, Shiqiu Zheng, Chengxiao Yu, Jianzhong Yu, Longfeng Jiang

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Evaluating risk stratification scoring systems to predict mortality in patients with COVID-19 by Naveen Garg, Kelly Chu, Batool Alharahsheh, Payal Guha

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Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities by Paul Iacobescu, Virginia Marina, Catalin Anghel, Aurelian-Dumitrache Anghele

“…Early detection and diagnosis of CVD can significantly reduce the risk of complications and mortality. Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data. …”
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Characterization and Effects of Floor Impact Sound in Residential Buildings: A Systematic Review by Yuying Zou, Mengjin Liu, Hui Ma

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Bioinformatics analysis of circular RNAs associated with atrial fibrillation and their evaluation as predictive biomarkers by Manman Wang, Yuanyuan Chen, Weiwei Yang, Xiangting Li, Genli Liu, Xin Wang, Shuai Liu, Ge Gao, Fanhua Meng, Feifei Kong, Dandan Sun, Wei Qin, Bo Dong, Jinguo Zhang

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Evaluating maternal serum sortilin levels: a potential biomarker for predicting preeclampsia by Gulsan Karabay, Burak Bayraktar, Zeynep Seyhanli, Betul Tokgoz Cakir, Gizem Aktemur, Serap Topkara Sucu, Nazan Vanli Tonyali, Umut Karabay, Dilara Kurt, Ali Turhan Caglar

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Virtual Flux Control Methods for Grid-Forming Converters: A Four-Method Comparison by Juan Dolado Fernández, Joaquín Eloy-García, Santiago Arnaltes Gómez, Samir Kouro, Hugues Renaudineau, José Luis Rodríguez Amenedo

“…The assessment includes methods based on PI regulators, using the mathematical flatness property of differential algebra, direct control (DC), and model predictive control (MPC). …”
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Distributed Model Predictive Formation Control for UAVs and Cooperative Capability Evaluation of Swarm by Ming Yang, Xiaoyi Guan, Mingming Shi, Bin Li, Chen Wei, Ka-Fai Cedric Yiu

“…This paper utilizes the distributed model predictive control (DMPC) method to investigate the formation control problem of unmanned aerial vehicles (UAVs) in the obstacle environment and establishes cooperative capability evaluation metrics of the swarm. …”
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Evaluation of predictive accuracy of gene expression in pigs using machine learning models by Tianle ZHOU, Jinyan TENG, Zhiting XU, Zhe ZHANG

“…Subsequently, we evaluated the prediction accuracy of each model.ResultThere was a positive correlation between the prediction accuracy of machine learning models and the cis-h2 of genes. …”
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Evaluating moisture safety strategies in CLT buildings – predictions vs actual outcomes by Kristo Kalbe, Targo Kalamees

“…This study evaluated moisture safety strategies and construction practices in two non-residential CLT buildings through predictive analyses and on-site observations. …”
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Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom

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Mathematical methods in the breeding evaluation of small  horned ruminants by K. A. Katkov, L. N. Skorykh, V. S. Pashtetsky, P. S. Ostapchuk, T. A. Kuevda

“…Aim. Traditionally, prediction of breeding values of male small horned ruminants   (rams) by referring to levels of economically useful traits of their progeny is carried  out by methods of statistical analysis. …”
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Food Allergenicity Evaluation Methods: Classification, Principle, and Applications by Huiqiao Zhou, Xiao Chen, Xin Li

“…These evaluation methods include mass spectrometry-based methods, bioinformatics predictions, simulated digestion, enzyme-linked immunosorbent assays, cell-based models, and animal models. …”
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Research advances in evaluation methods for neoadjuvant therapy of tumors by Zien Yuan, Ting Chen, He Zhang, Jiatong Li, Juntan Li, Guanning Shang

“…Currently, the conventional evaluation methods for neoadjuvant therapy of tumors are mainly divided into two categories: imaging-based and pathological evaluations. …”
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Evaluation of changes in prediction modelling in biomedicine using systematic reviews by Lara Lusa, Franziska Kappenberg, Gary S. Collins, Matthias Schmid, Willi Sauerbrei, Jörg Rahnenführer, on behalf of the Topic Group for High-dimensional data of the STRATOS initiative

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Evaluation of different fall risk screening tools for risk prediction of ophthalmology inpatients by Muling Li, Qinghui Huang, Chunmei Li, Ling Xie, Yunji Wang, Juan Yang

“…Abstract Aims and objectives To evaluate the risk factors for falls in adult ophthalmic inpatients and compare the accuracy and predictability of fall risk screening tools. …”
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Evaluation of Overall Survival Predictions In Inoperable Pancreas Ductal Adenocarcinoma by Hasan Önner, Mustafa Erol, İlknur Küçükosmanoğlu

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Evaluation of risk factors and modern possibilities for prediction of preterm labour by A. O. Shevchenko, Yu. Ya. Krut

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