Showing 1,021 - 1,040 results of 20,715 for search 'data low analysis', query time: 0.30s Refine Results
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    Asthma prescribing trends, inhaler adherence and outcomes: a Real-World Data analysis of a multi-ethnic Asian Asthma population by Ming Ren Toh, Gerald Xuan Zhong Ng, Ishita Goel, Shao Wei Lam, Jun Tian Wu, Chun Fan Lee, Marcus Eng Hock Ong, David Bruce Matchar, Ngiap Chuan Tan, Chian Min Loo, Mariko Siyue Koh

    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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    Article
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    RLDEAO optimized of air quality data clustering analysis(RLDEAO优化的空气质量数据聚类分析) by 田闯(TIAN Chuang), 黄鹤(HUANG He), 杨澜(YANG Lan), 王会峰(WANG Huifeng), 茹锋(RU Feng)

    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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    Article
  9. 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... by Yuhua Jiang, Yingying Wang, Sijia Ma, Linlin Qian, Yeteng Jing, Xi Chen, Jinsheng Yang

    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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    Article
  10. 1030

    Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments by I Gede Bintang Arya Budaya, I Komang Dharmendra, Evi Triandini

    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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    Article
  11. 1031

    BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis by Anas W. Abulfaraj

    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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    Article
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    Features of Recruitment: Intelligent Text Analysis of Resume and Vacancies by Irina L. Sizova

    Published 2025-01-01
    “…Statistical analysis included methods of descriptive statistics, correlation analysis, and time-series modeling. …”
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    Article
  13. 1033

    Exploring health security trends in low-income countries using a hybrid D-CRITIC-CoCoSo and K-Means approach by Adel A. Nasser, Abed Saif Ahmed Alghawli, Salem Saleh, Amani A. K. Elsayed

    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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    Article
  14. 1034

    Human brain single-cell data reveal shared synaptic dysfunction and immune abnormality in epilepsy and Alzheimer′s disease by YU Xiaolin, ZHANG Erning, SHA Longze

    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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    Revolutionizing Nursing and Midwifery Informatics Curriculum Evaluation in Ghana: A Data-Driven Machine Learning Approach by Iven Aabaah, Japheth Kodua Wiredu, Bakaweri Emmanuel Batowise, Nelson Abuba Seidu

    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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    Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health by Vladislav Kaverinsky, Dmytro Vakulenko, Liudmyla Vakulenko, Kyrylo Malakhov

    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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