Search Results - "algorithm"

STUDYING DEVELOPMENT OF POST-VACCINAL CELLULAR IMMUNITY AGAINST BRUCELLOSIS BY MEANS OF LYMPHOCYTE <i>IN VITRO</i> TESTS USING AN EXPERIMENTAL ANTIGENIC COMPLEX by M. V. Kostyuchenko, E. L. Rakitina, D. G. Ponomarenko, O. V. Logvinenko, S. A. Kurcheva, T. V. Berdnikova, D. V. Rusanova, A. N. Kulichenko

“…The applied experimental antigen is a quite promising tool for development of laboratory algorithms for brucellosis diagnostics, and assessment of actual vaccination efficiency in cohorts previously vaccinated against brucellosis.…”
Get full text

Microarray profile of circular RNAs identifies CBT15_circR_28491 and T helper cells as new regulators for deep vein thrombosis by Weiwei Chen, Ying Zhu, Sihua Niu, Yan Zhou, Jian Chang, Shujie Gan

“…Subsequently, key hub genes associated with DVT were determined using four algorithms: MCC, MNC, EPC, and DEGREE. A circRNA–miRNA–hub gene network was then constructed, and the relationship between the DVT-related hub genes and immunity was analyzed. …”
Get full text

Exploration and Validation of Key Genes and Immune Infiltration in Alcoholic Hepatitis by Mei Y, Zheng Y, Zhang X, Hu T, Zheng X, Zhang C, Deng Q

“…We then obtained two key genes (CXCL8 and CTNNA1) through lasso and random forest tree algorithms. CXCL8 and CTNNA1 were highly expressed in the alcoholic hepatitis group, which were verified in clinical patients and mice. …”
Get full text

Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…Six machine learning algorithms - Random Forest (RF), AdaBoost, Light Gradient Boosting Machine (LightGBM), eXtreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Tabular Prior-data Fitted Network version 2.0 (TabPFN-V2) - were implemented with five-fold cross-validation to optimize model hyperparameters. …”
Get full text

Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA by Tong Y, Wen K, Li E, Ai F, Tang P, Wen H, Guo B

“…Yangyang Tong,1 Kuo Wen,2 Enguang Li,3 Fangzhu Ai,4 Ping Tang,5 Hongjuan Wen,3 Botang Guo5 1Department of Pulmonary Oncology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 2College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 3College of Health Management, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 4School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning Province, 121000, People’s Republic of China; 5Department of General Practice, the Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, 518001, People’s Republic of ChinaCorrespondence: Botang Guo, Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, 518001, People’s Republic of China, Email hmugbt@hrbmu.edu.cn Hongjuan Wen, College of Health Management, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China, Email wenhongjuan2004@163.comObjective: The aim of this study was to establish a risk prediction model for sleep quality in patients with obstructive sleep apnea (OSA) based on machine learning algorithms with optimal predictive performance.Methods: A total of 400 OSA patients were included in this study. …”
Get full text

Perceptions of, Barriers to, and Facilitators of the Use of AI in Primary Care: Systematic Review of Qualitative Studies by Héctor Martínez-Martínez, Julia Martínez-Alfonso, Belén Sánchez-Rojo-Huertas, Valeria Reynolds-Cortez, Andrea Turégano-Chumillas, Victoria A Meseguer-Ruiz, Shkelzen Cekrezi, Vicente Martínez-Vizcaíno

“…However, clinicians and patients share concerns regarding data privacy, security, and potential biases in AI algorithms. ObjectiveThis study aimed to provide an in-depth understanding of primary care professionals’ and patients’ perceptions of, barriers to, and facilitators of the use of AI in primary care. …”
Get full text

Peripherex Home Visual Field Demonstrates High Test-Retest Reliability, Validity by Schweitzer J, Ibach M, Berdahl J, Daoud M, Daoud YA, Kempinski Y, Goldberg JL

“…PRX-VFT represents an opportunity for enhancing patient care at minimal additional equipment cost to the patient or healthcare system.Plain Language Summary: The Peripherex Visual Field Test (PRX VFT) uses a patient’s home computer or laptop with built-in eye tracking and patented algorithms. For this study, the PRX VFT was tested in the real-world, in-home setting, compared to in-office Humphrey visual field tests. …”
Get full text

Integrated Bioinformatics and Experimental Validation Reveal Macrophage Polarization-Related Biomarkers for Osteoarthritis Diagnosis by He Q, Liu L, Hu X, Lin L, Song Z, Xia Y, Lin Q, Wei J, Li S

“…Least absolute shrinkage and selection operator (LASSO), random forest (RF), and support vector machine recursive feature elimination (SVM-RFE) algorithms were used to identify hub genes and construct a diagnostic model validated through internal datasets and multiple external bulk RNA-seq and single-cell RNA-seq data. …”
Get full text

High-resolution surface soil moisture retrieval: A hybrid machine learning framework integrating change detection and downscaling for precision water management by Zihao Wang, Qi Gao, Michele Crosetto, Maria Jose Escorihuela

“…Among the evaluated algorithms, XGBoost model performed best, achieving an R2 of 0.933 and RMSE of 0.023 cm3/cm3. …”
Get full text

Discursive Strategies of Indirect Apology in English-Language Personal Communication by E. Yu. Ilyinova, O. S. Volkova, V. A. Litvinova

“…The immediate apology intention, which is verbalized in t he speech act of forgiveness request, constitutes the basis for direct apology scenario and is intensified by algorithmized sequence of speech-behavioral actions, such as admitting the guilt, giving excuses, shifting blame, communicating feelings, calling for empathy. …”
Get full text

Identification and Validation of Key Genes Involved in the Coupling of Mitochondria-Associated Endoplasmic Reticulum Membrane in Hemorrhoidal Disease by Mao L, Rao Z, Wang Y, Yang J, He J, Zheng Z, Chen L

“…Additionally, CIBERSORT algorithms were utilized to evaluate immune cell infiltration abundance, differences, and correlations in the samples. …”
Get full text

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
Get full text

Optimal management of the acquiring and evaluating the competencies process of university students by G. A. Dorrer, A. G. Dorrer, G. M. Rudakova

“…The methodology is based on matrix mathematics, so increasing the dimension of the problem does not cause a change of the calculation algorithms.…”
Get full text

BIOINFORMATIC ANALYSIS OF SINGLE NUCLEOTIDE VARIANTS IN THE F12 GENE ASSOCIATED WITH HEREDITARY ANGIOEDEMA by Anna Sedykh, Yulia Ostankova, Alexandr Schemelev, Areg Totolian

“…To predict the effect of these polymorphic variants on the F12 protein, various web-based tools employing different algorithms were used, including SIFT, PolyPhen-2, FATHMM-XF, MutationTaster2021, MutPred2, MUpro, I-Mutant 2, HOPE, and ChimeraX. …”
Get full text

DYNAMICS OF MMP-8, SRANKL, AND OSTEOCALCIN CONCENTRATIONS IN THE ORAL FLUID OF PATIENTS WITH SECONDARY EDENTULISM AND AFTER PROSTHETIC TREATMENT by R.V. Tsynkush, O.V. Voznyi

“…The results obtained underscore the feasibility of employing prosthetic treatment methods to reduce destructive effects on bone tissue and open up new prospects for creating personalized treatment and rehabilitation algorithms for patients who have lost their teeth. …”
Get full text

Methodology of Determining the Location of the Distribution Center of Material Flows in a Combined Scheme of Goods Delivery by Svetlana A. Zhestkova

“…Despite the sufficient number of existing ways to solve this problem, they have some disadvantages: they are not entirely realistic and do not completely meet the requirements of logistical optimization. Namely, existing algorithms do not take into account the need to visit the branches of the transport graph several times and the curvature of the movement trajectory.The developed technique has greater practical application because it deals with determining the optimal location of the distribution center based on the criterion of full vehicle loading, using piecewise linear approximation to account for the curvature of routes, forming delivery routes using the accurate fictitious nodes and branches’ method (FNB) to optimize transportation and minimize overall logistical costs. …”
Get full text

Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness by Ali Omidkar, Razieh Es’haghian, Hua Song

“…Consequently, this study explores the predictive capabilities of two alternative machine learning algorithms: random forests and artificial neural networks. …”
Get full text

Machine Learning and Deep Learning Hybrid Approach Based on Muscle Imaging Features for Diagnosis of Esophageal Cancer by Yuan Hong, Hanlin Wang, Qi Zhang, Peng Zhang, Kang Cheng, Guodong Cao, Renquan Zhang, Bo Chen

“…Diagnostic models were developed using deep learning (2D and 3D neural networks) and traditional machine learning (11 algorithms with PyRadiomics-derived features). Multimodal features underwent Principal Component Analysis (PCA) for dimension reduction and were fused for final analysis. …”
Get full text

Development and validation of a machine-learning-based model for identification of genes associated with sepsis-associated acute kidney injury by Chen Lin, Meng Zheng, Wensi Wu, Zhishan Wang, Guofeng Lu, Shaodan Feng, Xinlan Zhang

“…We assessed 113 combinations of 12 different algorithms to develop an internally and externally validated machine-learning model for diagnosing AKI. …”
Get full text

Identification and validation of CKAP2 as a novel biomarker in the development and progression of rheumatoid arthritis by Qiongbing Zheng, Qiongbing Zheng, Youmian Lan, Jiexin Chen, Ling Lin, Ling Lin

“…Differentially expressed gene (DEG) analysis, functional enrichment analysis, and weighted gene co-expression network analysis (WGCNA) identified key gene modules in RA. Machine learning algorithms were used to identify hub genes, followed by immune infiltration analysis and gene set variation analysis (GSVA). …”
Get full text