Tuberculosis and Respiratory Diseases

  • 제87권3호
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  • Pages.213-220
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  • 2024
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  • 1738-3536(pISSN)
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  • 2005-6184(eISSN)
대한결핵및호흡기학회 (The Korean Academy of Tuberculosis and Respiratory Diseases)
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Big Data Research on Severe Asthma

  • Sang Hyuk Kim (Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine) ;
  • Youlim Kim (Division of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Hospital, Konkuk University School of Medicine)
  • 투고 : 2023.11.18
  • 심사 : 2024.02.29
  • 발행 : 2024.07.31
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초록

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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참고문헌

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