Causal relationship between educational attainment and the occurrence of venous thromboembolism by Sitong Guo, Sitao Tan, Shiran Qin, Dandan Xu, Henghai Su, Xiaoyu Chen

“…We aimed to assess the causal effect of EA on VTE using the two-sample mendelian randomization (MR) method. Methods Data mining was conducted on the genome wide association studies (GWAS), with exposure factor EA and outcome factor VTE. …”
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Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

“…For each identified cluster, polynomial fits that describe the time behavior of the assessed features are provided for an informative comparison, together with their averaged values. The proposed data-mining methodology permits the stratification of distinct time patterns of multi-modal health data in individuals that share a diagnosis, by employing user-customized criteria beyond the current clinical practice. …”
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AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development by Ryan Wen Liu, Shiqi Zhou, Shangkun Yin, Yaqing Shu, Maohan Liang

“…Therefore, trajectory compression has been one of the hot spots in research on trajectory data mining. The major purpose of this work is to provide a comprehensive reference source for beginners involved in vessel trajectory compression. …”
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Educational Migration in Russian Regions: Statistical Approach by E. A. Pitukhin, O. A. Zyateva, L. V. Shchegoleva, V. E. Sokolov

“…The methods of the study included methods of comparative analysis and descriptive statistics, methods of data mining, such as analysis of key factors of influence and clustering. …”
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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling by Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy

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Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM by Peipei Zeng, Shuimiao Kang, Shuimiao Kang, Fan Fan, Jiyuan Liu, Jiyuan Liu

“…Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect heart murmurs when the heart is structurally abnormal, to tell if a newborn has congenital heart disease. …”
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Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental-FEM-SVM Methodology by Zhi-Jun Lyu, PeiCai Zhao, Qi Lu, Qian Xiang, HongLiang Li

“…Taking, for example, the boltless steel connections, this paper proposes a data-driven simulation model (DDSM) that combines the experimental test, FEM, and support vector machine (SVM) techniques to determine the bending strength of BCCs by means of data mining from the engineering database. First, a three-dimensional (3D) finite element (FE) model was generated and calibrated against the experimental results. …”
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Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy by Abdul Majeed, Seong Oun Hwang

“…In the modern era, data of diverse types (medical, financial, etc.) are outsourced from data owner environments to the public domains for data mining and knowledge discovery purposes. However, data often encompass sensitive information about individuals, and outsourcing the data without sufficient protection may endanger privacy. …”
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Optimal design for six-phase asymmetrical surface mount permanent magnet synchronous motor: An innovative approach considering fault tolerance and load variations for electric vehi... by Mahmoud Y. Mohamed, Ahmed Refaat, Ahmed Kalas, Ayman S. Abdel-Khalik, Shehab Ahmed, Mahmoud Fawzi

“…To effectively simulate the operational challenges in electric vehicles (EVs), data mining and clustering techniques are utilized to analyze and comprehend real-world drive cycle data. …”
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Molecular Characterization of Legionellosis Drug Target Candidate Enzyme Phosphoglucosamine Mutase from (strain Paris): An Approach by Anayet Hasan, Habibul Hasan Mazumder, Arif Khan, Mohammad Uzzal Hossain, Homaun Kabir Chowdhury

“…It has been found that phosphoglucosamine mutase, phosphomannomutase, and phosphoglyceromutase enzymes can be used as the most probable therapeutic drug targets through extensive data mining. Phosphoglucosamine mutase is involved in amino sugar and nucleotide sugar metabolism. …”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by Omar AlShorman, Muhammad Irfan, Nordin Saad, D. Zhen, Noman Haider, Adam Glowacz, Ahmad AlShorman

“…Moreover, these techniques include signal/image processing, intelligent diagnostics, data fusion, data mining, and expert systems for time and frequency as well as time-frequency domains. …”
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Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients by Yan Lv, Huijuan Chen, Zhiyan Sui, Yingliu Huang, Shixiong Huang, Feng Chen, Guoqiang Wen

“…The encephalography and neuroimaging data mining at different stages would bring neuromodulation strategies in practice; 15 mild cognitive impairment patients and 16 mild vascular dementia patients as well as 17 cognitive healthy controls were screened in this study. …”
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Uncovering antidepressant prescription patterns: a three-year analysis of outpatient trends by Hossein Karami, Reza Mehrizi, Mohammad Effatpanah, Azamsadat Rivandi, Rajabali Daroudi, Nezam Armand, Leila Ghamkhar

“…The data were processed via the cross-industry standard process for data mining and analyzed using a multivariate logistic regression model. …”
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Refining Sparse Cell-ID Trajectory of Public Service Vehicles by Spatiotemporal Modelling by Kemin Zhu, Junli Liu, Xianfeng Song, Weifeng Wang, Hao Chen

“…So, the cell-id trajectory refinement has been recognized as challenging work to further facilitate trajectory data mining. This paper presents a comprehensive approach to identify cell-id trajectories of public service vehicles (PSVs) from large volume of trajectories and further refines these cell-id trajectories by a heuristic global optimization approach. …”
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Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound by R. Jurkonis, A. Janušauskas, V. Marozas, D. Jegelevičius, S. Daukantas, M. Patašius, A. Paunksnis, A. Lukoševičius

“…The backscattered ultrasound signal parameters characterizing intraocular and orbit tissues were processed by decision tree data mining algorithm. The pilot trial proved that applied methods are able to correctly classify signals from corpus vitreum blood, extraocular muscle, and orbit tissues. …”
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Foodborne Event Detection Based on Social Media Mining: A Systematic Review by Silvano Salaris, Honoria Ocagli, Alessandra Casamento, Corrado Lanera, Dario Gregori

“…This review analyzed studies published up to December 2024 that utilized social media data and data mining to predict and prevent foodborne diseases. …”
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Evolution of artificial intelligence in healthcare: a 30-year bibliometric study by Yaojue Xie, Yuansheng Zhai, Yuansheng Zhai, Guihua Lu, Guihua Lu

“…The analysis employed Bibliometrix, Biblioshiny, and Microsoft Excel, incorporating the bibliometrix R package for data mining and analysis, and visualized the observed trends in bibliometrics.ResultsA total of 22,950 documents were collected in this study. …”
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PPARD May Play a Protective Role for Major Depressive Disorder by Tao Yang, Juhua Li, Liyuan Li, Xuehua Huang, Jiajun Xu, Xia Huang, Lijuan Huang, Kamil Can Kural

“…To explore the potential connection between PPARD and MDD, we first conducted a literature-based data mining to construct a PPARD-driven MDD regulating network. …”
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A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm by Rizwan Niaz, Ibrahim M. Almanjahie, Zulfiqar Ali, Muhammad Faisal, Ijaz Hussain

“…However, installation and data mining on a large number of meteorological stations require high cost and resources. …”
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QUALITY ASSESSMENT OF STUDENT COURSEWORKS: COMPETENCY-BASED APPROACH by T. M. Shamsutdinova

“…The content analysis of the Federal State Educational Standard of the Highest Education (FSES HE), the data mining technology and statistical methods of data processing were applied in the course of the present research. …”
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