Search Results - statistical algorithm

Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures by Omar Musbahi, MSc, ChM, Savvas Hadjixenophontos, MEng, Saran S. Gill, Iris Soteriou, Bsc, Kyriacos Pouris, Bsc, Takuro Ueno, PhD, Justin P. Cobb, MCh

“…Methods: Using a computer vision and pattern recognition algorithm, the femur shaft and prosthesis regions were identified, and their respective angles were extracted for NSA calculation. …”
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Raman spectroscopy analysis of dental enamel organic and mineral composition: an experimental non-randomised study by I. V. Bazhutova, O. А. Magsumova, O. О. Frolov, E. V. Timchenko, P. Е. Timchenko, D. А. Trunin, S. S. Komlev, V. A. Polkanova

“…Spectra were denoised with a median filter (5 points), the approximating line (fifth order polynomial) of autofluorescent component was determined in 700–2200 cm-1 range using an iterative algorithm and then subtracted to receive isolated Raman spectra.Linear discriminant analysis (LDA) of data was performed with the IBM SPSS Statistics package. …”
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Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients by Aixiang Hu, Dayan Ma, Yanni Lei, Fangqiang Li, Xi Wang, Yuewei Zhang

“…However, existing prediction frameworks exhibit limitations in elucidating the relative importance of risk factors, thereby impeding precise clinical decision-making and individualized patient management.ObjectiveTo evaluate the performance of six ensemble classification algorithms and three single classification algorithms in predicting MDR-BP risk factors among neurosurgical postoperative critically ill patients, identify the optimal predictive model, and determine key influential factors.MethodsWe conducted a retrospective study involving 750 neurosurgical patients admitted to a neurosurgery center at a tertiary hospital in Beijing between January 2020 and December 2023. …”
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An Interpretable Machine Learning Framework for Unraveling the Dynamics of Surface Soil Moisture Drivers by Zahir Nikraftar, Esmaeel Parizi, Mohsen Saber, Mahboubeh Boueshagh, Mortaza Tavakoli, Abazar Esmaeili Mahmoudabadi, Mohammad Hassan Ekradi, Rendani Mbuvha, Seiyed Mossa Hosseini

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SINS/OD integrated navigation system for shearer based on robust closed-loop path calibration by YAN Ming, FU Xiang, WANG Ranfeng, YANG Xinyu, LIU Bin

“…Finally, an Adaptive Kernel Bandwidth algorithm was introduced into the MCCKF (AMCCKF), achieving good robustness without pre-setting the kernel bandwidth parameter. …”
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Socio-economic substantiation of expediency of seasonal influenza vaccine prophylaxis among medical workers by V.G.  Kyi-Kokarieva, L.V. Kriachkova, L.I. Padalkо

“…The economic effect was determined on the basis of the cost-benefit method using the analysis algorithm in the form of a “decision tree”. The information base for the analysis was the accounting and reporting and financial and economic documentation of the health care institution (HCI). …”
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A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease by Giles Dixon, Hannah Thould, Matthew Wells, Krasimira Tsaneva-Atanasova, Chris J. Scotton, Michael A. Gibbons, Shaney L. Barratt, Jonathan C.L. Rodrigues

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Quantifying training response in cycling based on cardiovascular drift using machine learning by Artur Barsumyan, Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard, Rene Burchard, Rene Burchard

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A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…Under controlled environmental conditions on representative building structures, key variables were manipulated, and all collected data were processed through a consistent SfM pipeline based on the SIFT algorithm. Quantitative evaluation results using various analytical methodologies (multiple regression analysis, Kruskal–Wallis test, random forest feature importance, principal component analysis including K-means clustering, response surface methodology (RSM), preference ranking technique based on similarity to the ideal solution (TOPSIS), and Pareto optimization) revealed that the basic shooting pattern ‘type’ has a significant and statistically significant influence on all major SfM performance metrics (reprojection error, final point count, computation time, reconstruction completeness; Kruskal–Wallis <i>p</i> < 0.001). …”
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INCREASING THE EFFICIENCY OF THE TREATMENT OF ENDOPARODONTAL LESIONS by F.Y. Mammadov, V.M. Bayramova, R.M. Ahmedbeyli

“…The patients were divided into two groups depending on the treatment algorithm: I – with a diagnosis of EPL20 patients of the main group, who, along with standard treatment, received additional therapy with decontamination of CC and laser curettage with a dental diode laser (Picasso Life); II with a diagnosis of EPL 21 patients in the control group with traditional treatment. …”
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The risk of developing autonomic dysreflexia during urodynamic testing in patients after spinal cord injury by A. A. Kamalov, D. A. Okhobotov, M. E. Chaly, M. V. Frolova, I. V. Khutoroi, R. V. Salyukov

“…Currently, there is no diagnostic algorithm and no way to determine risk factors for the occurrence of autonomic dysreflexia.Objective. …”
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On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…The role of elevator rope defects as a factor of dangerous incidents is indicated from the point of view of statistics. The malfunctions of the elevator mechanical equipment related to the defective indices of the ropes are listed. …”
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Modeling distributed energy resource aggregations in security constrained unit commitment and economic dispatch by Jesse Holzer, Matthew Cornachione, Liping Li, Eran Schweitzer, Brent Eldridge

“…This paper describes a model for each resource type and presents two methods for the DERA to generate market offer curves: a profit-maximizing optimization to compute cost curves and a direct cost algorithm to determine dispatch costs for each resource and combine into cost curves. …”
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Using Life’s Essential 8 and heavy metal exposure to determine infertility risk in American women: a machine learning prediction model based on the SHAP method by Xiaoqing Gu, Qianbing Li, Xiangfei Wang

“…The association between LE8 and heavy metal exposure and risk of infertility was assessed using logistic regression analysis and six machine learning models (Decision Tree, GBDT, AdaBoost, LGBM, Logistic Regression, Random Forest), and the SHAP algorithm was used to explain the model’s decision process.ResultsOf the six machine learning models, the LGBM model has the best predictive performance, with an AUROC of 0.964 on the test set. …”
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Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning by Vasileios C. Pezoulas, Konstantina D. Kourou, Fanis Kalatzis, Themis P. Exarchos, Evi Zampeli, Saviana Gandolfo, Andreas Goules, Chiara Baldini, Fotini Skopouli, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

“…Lexical and semantic matching methods are used to align the structure of the heterogeneous, curated cohort data along with incremental learning algorithms including class imbalance handling and hyperparameter optimization to enable the development of disease prediction models. …”
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Aspects of Developing A Methodology for Managing Digital Financial Assets by A. Yu. Proskuryakov

“…The subject of the study is methods, models and algorithms for automated monitoring and management of digital financial assets and cryptocurrencies. …”
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Results of parallel independent visual evaluation of projective cover of the bottom during macrophyte assesment survey by A. A. Dulenin

“…For successful implementation of visual surveys, its algorithm for various environmental conditions is developed and supplemented with necessary instructions.…”
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Current Diagnostic Possibilities for the Initial Forms of External Endometriosis by E. M. Blazhnova, A. T. Oganesyan, A. R. Ibrahimova, R. B. Balter, T. V. Ivanova

“…To verify the diagnosis, it is suggested to use a panel of biomarkers, including interleukins (IL) 1β and 6, CA125, HE4 as well as the ROMA (Risk of Ovarian Malignancy Algorithm) index in the dynamics of the menstrual cycle.Results. …”
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Behavior Analysis With Integrated Visual-Motor Tracking for Developmental Coordination Disorder by Ruimin Li, Hong Fu, Yang Zheng, Shuiping Gou, Jane Jie Yu, Xiaowei Kong, Hongmin Wang

“…Finally, statistical analysis is conducted both between groups with different motor coordination abilities and between groups with different task outcomes. …”
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A scoping review on metrics to quantify reproducibility: a multitude of questions leads to a multitude of metrics by Rachel Heyard, Samuel Pawel, Joris Frese, Bernhard Voelkl, Hanno Würbel, Sarah McCann, Leonhard Held, Kimberley E. Wever, Helena Hartmann, Louise Townsin, Stephanie Zellers

“…The metrics were characterized based on type (formulas and/or statistical models, frameworks, graphical representations, studies and questionnaires, algorithms), input required and appropriate application scenarios. …”
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