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1021
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1022
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1024
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1025
Asthma prescribing trends, inhaler adherence and outcomes: a Real-World Data analysis of a multi-ethnic Asian Asthma population
Published 2024-11-01“…Abstract Inhaled corticosteroid (ICS) is the mainstay therapy for asthma, but general adherence is low. There is a paucity of real-world inhaler prescribing and adherence data from Asia and at the population level. …”
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1026
Barriers to healthcare access among female youths in Mozambique: a mixed-effects and spatial analysis using DHS 2022/23 data
Published 2025-02-01“…Methods Data from the Mozambique Demographic and Health Survey (DHS) 2022/23 on maternal and child health was analyzed. …”
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1027
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1028
RLDEAO optimized of air quality data clustering analysis(RLDEAO优化的空气质量数据聚类分析)
Published 2024-09-01“…Aiming at the problems of high randomness, low clustering accuracy and multiple central points in clustering the same air quality data by traditional clustering methods due to different choice of initial points, a K-means complementary iterative air quality data clustering analysis method optimized by RLDEAO is proposed. …”
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1029
Efficacy and safety of PCSK9 inhibitors, potent statins, and their combinations for reducing low-density lipoprotein cholesterol in hyperlipidemia patients: a systematic network me...
Published 2025-02-01“…A network meta-analysis (NMA) was conducted via Stata 17 software, with two authors independently conducting the search, screening, and data abstraction.ResultsA total of 68 clinical studies involving 21,288 patients with hyperlipidemia were incorporated into the NMA. …”
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1030
Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments
Published 2025-03-01“…The complexity of customer data makes manual analysis of the customer segments difficult, so applying machine learning to segment the customer can be the solution. …”
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1031
BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis
Published 2025-01-01“…However, the current approaches to analyzing word-of-mouth on social media face significant challenges like lack of feature integration, low sentiment analysis efficiency, low topic identification efficiency, issues with data scarcity, and the high costs of annotations. …”
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1032
Features of Recruitment: Intelligent Text Analysis of Resume and Vacancies
Published 2025-01-01“…Statistical analysis included methods of descriptive statistics, correlation analysis, and time-series modeling. …”
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1033
Exploring health security trends in low-income countries using a hybrid D-CRITIC-CoCoSo and K-Means approach
Published 2025-12-01“…Analysis of Global Health Security Index data from 2017 to 2021 reveals divergent priorities between LICs and high-income countries. …”
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1034
Human brain single-cell data reveal shared synaptic dysfunction and immune abnormality in epilepsy and Alzheimer′s disease
Published 2025-07-01“…Methods The single-cell transcriptome sequencing data of brain tissue from AD and epilepsy patients were collected from gene expression omnibus (GEO) database followed by cell clustering, differential expression analysis and gene ontology (GO)functional enrichment analysis using R-based tools such as Seurat and cluster Profiler and video electroencephalogram (vEEG) monitoring and Western blot experiments. …”
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1038
Revolutionizing Nursing and Midwifery Informatics Curriculum Evaluation in Ghana: A Data-Driven Machine Learning Approach
Published 2025-03-01“…This research assessed NMI educational programs in Ghana using machine learning techniques to analyze key factors influencing student performance, engagement, and satisfaction. Data was gathered from 1,500 students across C.K. …”
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1039
Global burden of low back pain from 1990 to 2021: a comprehensive analysis of risk factors and trends using the Global Burden of Disease Study 2021
Published 2025-05-01“…We conducted an analysis of baseline data, as well as gender and age subgroup data. …”
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Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health
Published 2024-10-01“…The presented study explores the clustering of arterial oscillogram (AO) data among a sample of patients, focusing on ultra-low-frequency (ULF) indicators and their relationship with depression levels. …”
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