Tuberc Respir Dis > Accepted Articles
DOI:    [Accepted]
Published online March 5, 2024.
Big Data Research on Severe Asthma
Sang Hyuk Kim1, Youlim Kim2
1Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine, Gyeongju, Korea
2Division of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Hospital, School of Medicine, Konkuk University, Seoul, Korea
Correspondence:  Youlim Kim, Tel: +82-2-2030-7524, Fax: +82-2-2030-7748, 
Received: 18 November 2023   • Revised: 11 January 2024   • Accepted: 29 February 2024
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.
Key Words: Severe asthma, Big data, Digital technology, Multicenter electronic health records, Nationwide claim data, International cohorts
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