Tuberc Respir Dis.
2024 Jul;87(3):213-220. 10.4046/trd.2023.0186.
Big Data Research on Severe Asthma
- Affiliations
-
- 1Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine, Gyeongju, Republic of Korea
- 2Division of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Hospital, Konkuk University School of Medicine, Seoul, Republic of Korea
- KMID: 2556821
- DOI: http://doi.org/10.4046/trd.2023.0186
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.
- Full Text Links
-
- Actions
-
Cited
- CITED
-
- Close
- Share
-
- Similar articles
-
- Clinical research using medical big data
- Pediatric Cancer Research using Healthcare Big Data
- Treatment of Severe Asthma
- Methodology for Big Data Analysis Using Data from National Health Insurance Service: Preliminary Methodologic Study and Review about the Relationship between Sinus Surgery and Asthma
- Big Challenge in Big Data Research: Continual Dispute on Big Data Analysis
