A meta fusion model combining geographic data and twitter sentiment analysis for predicting accident severity by Areeba Naseem Khan, Yaser Ali Shah, Wasiat Khan, Amaad Khalil, Jebran Khan

“…Building on these developments, this study introduces an innovative approach ConvoseqNet to improve traffic accident prediction by integrating traditional traffic data with real-time social media insights, specifically using geographic data and Twitter sentiment analysis. …”
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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques. by Apichat Suratanee, Panita Chutimanukul, Tanapon Saelao, Supachitra Chadchawan, Teerapong Buaboocha, Kitiporn Plaimas

“…The neural network model demonstrated high performance, achieving an area under the receiver operating characteristic curve of 0.8113, highlighting its effectiveness in predicting phenolic content levels based on the spectral data. Comparative analysis with other machine learning techniques confirmed the superior performance of the neural network approach. …”
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Identification and validation of five ferroptosis-related molecular signatures in keloids based on multiple transcriptome data analysis by Zhen Sun, Yonghong Qin, Xuanfen Zhang

“…Additionally, single-cell data from GSE181316, which included 8 samples with complete expression profiles, were also evaluated. …”
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Therapies for Advanced Parkinson’s Disease in Sweden: A Cost-Effectiveness Analysis Using Real-World Data by Dag Nyholm, Simon Eggington, Astrid Holm

“…This study sought to use this real-world evidence to determine the cost-effectiveness profile of specific DATs in Sweden. Methods We developed a state transition (Markov) model to represent disease progression over time and used published clinical data to represent short- and long-term disease outcomes. …”
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Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples by Alparthi Kumuda, Saroj Kumar Panigrahy

“…Therefore, this study developed the Psychological Disorders Machine Learning Genomic (PDMLG) model as an amalgamation of genetic algorithms and machine learning techniques in a predictive analysis model using genomic data samples. …”
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Population-based prevalence of rare diseases in Jeju, Korea: a 2021 analysis using NHIS data by Ki Soo Kang, Jung-Kook Song

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Transforming Systematic Literature Synthesis into Meta-Data Analysis: The Impact of Lean Six Sigma in the Healthcare Sector by James KOMALING, Octavia D. M. TUEGEH, Fitty Valdi ARIE, Johan R. TUMIWA

“…Through co-occurrence analysis and keyword correlation, the research develops robust indicators for each construct and proposes a data-driven path model for future quantitative analysis using PLS-SEM. …”
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ANALYSIS OF THE DATA SOURCES FOR SIZING THE PHENOMENON OF INTERNATIONAL MIGRATION IN THE CONTEXT OF THE MAJOR EXODUS OF ROMANIAN LABOR FORCE by Gabriela PRELIPCEAN, Paul-Panfil IVAN

“…This paper aims to inventory the available data sources regarding international migration from Romania and, as much as possible, to propose solutions by which this phenomenon could be better quantified to support the development of effective migration policies. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Multi-temporal InSAR analysis of Sentinel-1 data (2015–2020) is performed using LiCSAR–LiCSBAS, followed by two novel approaches: multi-dimensional InSAR research and analysis (MIRA) and Crosta’s InSAR application (InCROSS). …”
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Comprehensive analysis of coastal flood susceptibility, drought severity, and crop water stress using data fusion by Hyeong-Joo Kim, Mahfuzur Rahman, Zulfiqar Hammad, Hyeong-Soo Kim, Seok-Jae Lee, Tae-Eon Kim, So-Hyi Jung

“…This study examines environmental susceptibilities in coastal regions by integrating geospatial indices to evaluate flood susceptibility, drought severity, and crop water stress. A data fusion framework was developed using the composite coastal flood susceptibility index (CCFSI), composite drought index (CDI), and crop water stress index (CWSI), validated against 70 ground truth points. …”
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Defining health and lifestyle characteristics of the age 50+ population: cluster analysis of data from the PROTECT study by Emily Kontaris, Ian Wakeling, Helen Brooker, Anne Corbett, Clive Ballard, Dag Aarsland, Anne Churchill

“…Chronological age is typically used to segment older consumers however, given the diversity of ageing, a multi-dimensional approach considering other factors contributing to this behavior change is important. Using data from the PROTECT study in the UK, this research aimed to identify clusters of older people with distinct characteristics and investigate whether chronological age was fundamental in defining these groups.MethodsTwelve variables, covering measures related to physical capabilities, mental health and lifestyle choices, were derived from the baseline questionnaire data from the PROTECT study and subjected to a k-means cluster analysis. …”
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Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification by Sabrina Napoletano, David Dannhauser, Paolo Antonio Netti, Filippo Causa

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Denoising Diffusion Probabilistic Model for Realistic and Fast Generated Euclid-like Data for Weak Lensing Analysis by Diana Scognamiglio, Jake H. Lee, Eric Huff, Sergi R. Hildebrandt, Shoubaneh Hemmati

“…Understanding and mitigating measurement systematics in weak lensing (WL) analysis requires large data sets of realistic galaxies with diverse morphologies and colors. …”
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Street Quality Measurement and Accessibility Analysis Based on Streetscape Data: The Case of Mingcheng District in Xi’an City by Wenting Zhang, Jiajing Chen, Yixin Tian

“…The renewal and enhancement of urban street space are integral to the broader processes of urban regeneration and the sustainable development of both urban and rural areas. This study focuses on the Mingcheng area of Xi’an, employing semantic segmentation technology to extract data and analyze the spatial characteristics of factors influencing street quality. …”
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Socioeconomic disparities in HPV vaccine uptake: multivariable analysis of vaccination data from Tianjin (2018–2023) by Jing Xiang, Xuan Sun

“…ObjectivesAs the first socio-demographic profiling of HPV vaccines in Chinese cities, this study assesses equity implications through compositional analysis of covered populations, with multilevel examination of vaccine-type selection determinants.MethodUtilizing HPV vaccination data obtained from the Jinnan Center for Disease Control and Prevention (CDC) spanning from 2018 to 2023, we conducted a retrospective analysis. …”
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Analysis and evaluation of healthcare delivery to patients with coronary artery disease using PC-based medical data by A. M. Nazarov, S. N. Tolpygina, I. P. Bolodurina

“…In 342 out of 586 patients after MI, using PC-based medical data, number of completed outpatient treatment cases, ambulance calls, and emergency hospitalizations for CAD were identified. …”
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Contributions of prognostic factors to socioeconomic disparities in cancer survival: protocol for analysis of a cohort with linked data by Xue Qin Yu, David Goldsbury, Sarsha Yap, Mei Ling Yap, Dianne L O'Connell

“…Introduction Socioeconomic disparities in cancer survival have been reported in many developed countries, including Australia. Although some international studies have investigated the determinants of these socioeconomic disparities, most previous Australian studies have been descriptive, as only limited relevant data are generally available. …”
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Examining power dynamics in global health governance using topic modeling and network analysis of Twitter data by Jennifer J Prah, Gian Franco Bermudez

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Improving chlorophyll-a estimation using Sentinel-2 data: a comparative analysis of augmented datasets by Jinmyeong Lee, Do Hyuck Kwon, Heewon Jeong, Gibeom Nam, Euiho Hwang, Jin Hwi Kim, Kyung Hwa Cho, Hyo Gyeom Kim

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Explore the possible influence of Sjogren's syndrome on thyroid cancer: A literature data mining and meta-analysis. by Fanyong Kong, Boxuan Han, Zhen Wu, Jiaming Chen, Xixi Shen, Qian Shi, Lizhen Hou, Jugao Fang, Meng Lian

“…Four molecules (PLA2G7, TFF3, LCN2, and CLDN1) exhibited significant expression changes in TC patients (LFC > 1 or < -1; p < 2.07E-04), which were confirmed in TCGA/GTEx expression analysis. These results highlight three possible mechanisms-the SS-PLA2G7-CCL2-TC pathway, the SS-LCN2-LGALS3-TC pathway, and the SS-CLDN1-BCL2-TC pathway-that may explain how SS contributes to TC development. …”
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