Showing 1,941 - 1,960 results of 1,987 for search '"big data"', query time: 0.09s Refine Results
  1. 1941
  2. 1942
  3. 1943
  4. 1944

    Non-Pharmaceutical Interventions May Attenuate Acute Exacerbations of Asthma: Experience During the COVID-19 Pandemic in Taiwan by Lin CY, Lin CH, Lo YL, Lo CY, Huang HY, Hsieh MH, Fang YF, Li TC, Lin SM, Huang YT, Chang PJ, Lin HC

    Published 2025-01-01
    “…Chun-Yu Lin,1,2 Chiung-Hung Lin,1,2 Yu-Lun Lo,1,2 Chun-Yu Lo,1,2 Hung-Yu Huang,1,2 Meng-Heng Hsieh,1,2 Yueh-Fu Fang,1,2 Tsu-Chuan Li,1,2 Shu-Min Lin,1,2 Yu-Tung Huang,3 Po-Jui Chang,1,2 Horng-Chyuan Lin1,2,4 1Department of Thoracic Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; 2College of Medicine Chang Gung University, Taoyuan, Taiwan; 3Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; 4Department of Respiratory Therapy, Chang Gung Memorial Hospital at Linkou, Taoyuan, TaiwanCorrespondence: Horng-Chyuan Lin, Department of Thoracic Medicine, Chang Gung Memorial Hospital, 5 Fu-Hsing Street, Kweishan, Taoyuan, 33305, Taiwan, Tel +886-3-3281200 ext. 8470, Fax +886-3-3282474, Email lin53424@gmail.comBackground: Non-pharmaceutical interventions (NPIs) were widely used during the coronavirus disease 2019 (COVID-19) pandemic, however their impact on acute asthma exacerbations (AEs) is not well studied.Methods: We had retrospectively collected patients with asthma AEs between 2019 and 2020 and retrieved data from the Chang Gung Research Database, including clinical manifestations, medications, pulmonary function, clinic and emergency department visits and hospitalizations.Results: A total of 39,108 adult patients with asthma were enrolled, of whom 1502 were eligible for analysis. …”
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    Article
  5. 1945

    Research Progress in Monitoring Technology of Cold Chain Logistics for Meat Products by Bin HAN, Dongmei LENG, Yuqian XU, Jianyang SHEN, Xin LI, Xiaochun ZHENG, Wei WANG, Dequan ZHANG, Chengli HOU

    Published 2025-02-01
    “…Advanced technologies like big data, the internet of things, and artificial intelligence are becoming widely used as Industry 4.0 technology, which develops quickly. …”
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    Article
  6. 1946
  7. 1947
  8. 1948

    On the choice of the method of dynamic rationing of energy resources in oil refineries by V. R. Vedruchenko, E. M. Rezanov, A. P. Starikov, A. V. Kushnarenko, P. A. Surovtsev, V. A. Kikhtenko

    Published 2024-06-01
    “…The article discusses the possibility of calculating the expected energy demand based on big data and machine learning for the energy technological processes in oil refineries. …”
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    Article
  9. 1949
  10. 1950
  11. 1951

    The Correlation between Time in Range and Diabetic Microvascular Complications Utilizing Information Management Platform by Xia Sheng, Guo-Hui Xiong, Peng-Fei Yu, Jian-Ping Liu

    Published 2020-01-01
    “…To explore the relationship between time in range (TIR) and glycosylated hemoglobin (HbA1C) through the information big data management platform. Possible association between TIR and diabetic microvascular complications (retinopathy, nephropathy, and neuropathy) was investigated, attempting to provide theoretical basis for the clinical application of TIR and to explore the TIR control scope suitable for diabetic patients. …”
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  12. 1952
  13. 1953

    Predicting Iran Cooperative Development Bank's Profit/Loss: Two-stage Collective Learning by Seyed Bagher Fattahi, Seyed Mozafar Mirbargkar, Ebrahim Chirani, Mohammadreza Vatanparast

    Published 2023-12-01
    “…Employing machine learning for profit and loss prediction is a novel approach to numerical computations, aligning with the article's goal of leveraging big data. Hence, we employ a two-stage collective learning method utilizing Support Vector Machines, Decision Trees, and Weighted Averaging models for learning, testing, and predicting the profit/loss of the Cooperative Development Bank. …”
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  14. 1954
  15. 1955

    Bioinformatics services for analyzing massive genomic datasets by Gunhwan Ko, Pan-Gyu Kim, Youngbum Cho, Seongmun Jeong, Jae-Yoon Kim, Kyoung Hyoun Kim, Ho-Yeon Lee, Jiyeon Han, Namhee Yu, Seokjin Ham, Insoon Jang, Byunghee Kang, Sunguk Shin, Lian Kim, Seung-Won Lee, Dougu Nam, Jihyun F. Kim, Namshin Kim, Seon-Young Kim, Sanghyuk Lee, Tae-Young Roh, Byungwook Lee

    Published 2020-03-01
    “…In Korea, the amount of genomic data has been increasing rapidly in the recent years. Leveraging these big data requires researchers to use large-scale computational resources and analysis pipelines. …”
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  16. 1956
  17. 1957

    Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

    Published 2025-01-01
    “…., Taipei, 11049, Taiwan; 5Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, 235603, Taiwan; 6Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; 7Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan; 8Taipei Heart Institute, Taipei Medical University, Taipei, 11031, Taiwan; 9Department of Family Medicine, Taipei Medical University Hospital, Taipei, 11031, Taiwan; 10School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; 11Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan*These authors contributed equally to this workCorrespondence: Tzu-Hao Chang; Yu-Da Chen, Email kevinchang@tmu.edu.tw; 153072@h.tmu.edu.twPurpose: As HF progresses into advanced HF, patients experience a poor quality of life, distressing symptoms, intensive care use, social distress, and eventual hospital death. …”
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  18. 1958
  19. 1959
  20. 1960

    The association between gestational selective serotonin reuptake inhibitor (SSRI) treatment and newborn thyroid screen: a large-scale cohort study by Orian Raviv, Yael Lebenthal, Michal Yackobovitch-Gavan, Eyal Cohen-Sela, Shlomo Almashanu, Ronella Marom, Jacky Herzlich, Liran Hiersch, Avivit Brener

    Published 2025-01-01
    “…The Israeli NBS Program thyroid dataset [total thyroxine (TT4) obtained between 36‐72 h after delivery] was linked with the electronic medical records of mothers and their infants born at Lis Maternity and Women's Hospital, to generate a unified database. The MDClone big data platform was utilized to extract maternal, perinatal, and neonatal characteristics from the medical records of mother-infant dyads. …”
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