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Risk Factors for Asthma-Related Healthcare Use: Longitudinal Analysis Using the NHI Claims Database in a Korean Asthma Cohort 원문보기

PloS one, v.9 no.11, 2014년, pp.e112844 -   

Lee, Taehoon (Department of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea) ,  Kim, Jinhee (National Evidence-based Healthcare Collaborating Agency, Seoul, Korea) ,  Kim, Sujeong (Department of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea) ,  Kim, Kyoungjoo (National Evidence-based Healthcare Collaborating Agency, Seoul, Korea) ,  Park, Yunjin (Department of Statistics, Dongguk University, Seoul, Korea) ,  Kim, Yuri (National Evidence-based Healthcare Collaborating Agency, Seoul, Korea) ,  Lee, Yoon Su (Department of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea) ,  Kwon, Hyouk-Soo (Department of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea) ,  Kim, Sae-Hoon (Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea) ,  Chang, Yoon-Seok (Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea) ,  Cho, You Sook (Department of Allergy and Clinical Im) ,  Jang, An-Soo ,  Park, Jung-Won ,  Nahm, Dong-Ho ,  Yoon, Ho-Joo ,  Cho, Sang-Heon ,  Cho, Young-Joo ,  Choi, Byoung Whui ,  Moon, Hee-Bom ,  Kim, Tae-Bum

Abstract AI-Helper 아이콘AI-Helper

BackgroundThough insurance claims data are useful for researching asthma, they have important limitations, such as a diagnostic inaccuracy and a lack of clinical information. To overcome these drawbacks, we used the novel method by merging the clinical data from our asthma cohort with the National H...

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