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Big Data Research on Severe Asthma

Overview
Specialty Pulmonary Medicine
Date 2024 Mar 5
PMID 38443148
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Abstract

The continuously increasing prevalence of severe asthma has imposed an increasing burden worldwide. Despite the emergence of novel therapeutic agents, management of severe asthma remains challenging. Insights garnered from big data may be helpful in the effort to determine the complex nature of severe asthma. In the field of asthma research, a vast amount of big data from various sources, including electronic health records, national claims data, and international cohorts, is now available. However, understanding of the strengths and limitations is required for proper utilization of specific datasets. Use of big data, along with advancements in artificial intelligence techniques, could potentially facilitate the practice of precision medicine in management of severe asthma.

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References
1.
Kim H, Song S, Noh J, Jeong I, Lee B . Data Configuration and Publication Trends for the Korean National Health Insurance and Health Insurance Review & Assessment Database. Diabetes Metab J. 2020; 44(5):671-678. PMC: 7643590. DOI: 10.4093/dmj.2020.0207. View

2.
Mallappallil M, Sabu J, Gruessner A, Salifu M . A review of big data and medical research. SAGE Open Med. 2020; 8:2050312120934839. PMC: 7323266. DOI: 10.1177/2050312120934839. View

3.
Kim J, Yoon S, Kim L, Kim D . Towards Actualizing the Value Potential of Korea Health Insurance Review and Assessment (HIRA) Data as a Resource for Health Research: Strengths, Limitations, Applications, and Strategies for Optimal Use of HIRA Data. J Korean Med Sci. 2017; 32(5):718-728. PMC: 5383602. DOI: 10.3346/jkms.2017.32.5.718. View

4.
Kang H, Kim J, Park H, Jung J, Choi H, Park J . E-cigarette-associated Severe Pneumonia in Korea Using Data Linkage between the Korea National Health and Nutrition Examination Survey (KNHANES, 2013-2019) and the National Health Insurance Service (NHIS) Claims Database. J Korean Med Sci. 2021; 36(48):e331. PMC: 8668496. DOI: 10.3346/jkms.2021.36.e331. View

5.
Raghupathi W, Raghupathi V . Big data analytics in healthcare: promise and potential. Health Inf Sci Syst. 2015; 2:3. PMC: 4341817. DOI: 10.1186/2047-2501-2-3. View