Výsledky vyhledávání - "Kang, Seonguk"

Akademický článek

Predicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data

Autor: Hwang, Yu Seong ^a, Kim, Seongheon ^b, Yim, Inhyeok ^c, Park, Yukyoung ^d, Kang, Seonguk ^e, Jo, Heui Sug ^{a, d, f, ⁎}

Publikováno v: In International Journal of Medical Informatics March 2025 195

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Akademický článek

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Akademický článek

Predicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data.

Autor: Hwang YS; Department of Health Policy and Management, School of Medicine, Kangwon National University, 510 School of Medicine Building #1 (N414), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Republic of Korea., Kim S; Department of Neurology, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea., Yim I; Department of Family Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea., Park Y; Department of Preventive Medicine, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea., Kang S; Department of Convergence Security, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea., Jo HS; Department of Health Policy and Management, School of Medicine, Kangwon National University, 510 School of Medicine Building #1 (N414), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Republic of Korea; Department of Preventive Medicine, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea; Team of Public Medical Policy Development, Gangwon State Research Institute for People's Health, 880 Baksa-ro, Seo-myeon, Chuncheon-si, Gangwon-do 24461, Republic of Korea. Electronic address: joheuisug@gmail.com.

Publikováno v: International journal of medical informatics [Int J Med Inform] 2024 Dec 26; Vol. 195, pp. 105754. Date of Electronic Publication: 2024 Dec 26.

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Akademický článek

Status of MyHealthWay and Suggestions for Widespread Implementation, Emphasizing the Utilization and Practical Use of Personal Medical Data.

Autor: Ha T; Department of Biomedical Research Institute, Kangwon National University Hospital, Chuncheon, Korea., Kang S; Department of Biomedical Research Institute, Kangwon National University Hospital, Chuncheon, Korea.; Department of Convergence Security, Kangwon National University, Chuncheon, Korea., Yeo NY; Department of Medical Bigdata Convergence, Kangwon National University, Chuncheon, Korea., Kim TH; University-Industry Cooperation Foundation, Kangwon National University, Chuncheon, Korea., Kim WJ; Department of Convergence Security, Kangwon National University, Chuncheon, Korea.; Department of Medical Informatics, Kangwon National University School of Medicine, Chuncheon, Korea.; Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea., Yi BK; Department of Artificial Intelligence Convergence, Kangwon National University, Chuncheon, Korea., Jang JW; Department of Convergence Security, Kangwon National University, Chuncheon, Korea.; Department of Medical Bigdata Convergence, Kangwon National University, Chuncheon, Korea.; Department of Medical Informatics, Kangwon National University School of Medicine, Chuncheon, Korea.; Department of Neurology, Kangwon National University Hospital, Chuncheon, Korea., Park SW; Department of Medical Informatics, Kangwon National University School of Medicine, Chuncheon, Korea.; Institute of Medical Science, Kangwon National University School of Medicine, Chuncheon, Korea.

Publikováno v: Healthcare informatics research [Healthc Inform Res] 2024 Apr; Vol. 30 (2), pp. 103-112. Date of Electronic Publication: 2024 Apr 30.

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Akademický článek

In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables.

Autor: Kim M; Department of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea., Kim TH; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea., Kim D; Department of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea., Lee D; Department of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea., Kim D; Department of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea., Heo J; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea., Kang S; Department of Convergence Security, Kangwon National University, Chuncheon 24341, Republic of Korea., Ha T; Biomedical Research Institute, Kangwon National University Hospital, Chuncheon 24289, Republic of Korea., Kim J; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea., Moon DH; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.; Department of Pulmonology, Kangwon National University Hospital, Chuncheon 24289, Republic of Korea., Heo Y; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.; Department of Pulmonology, Kangwon National University Hospital, Chuncheon 24289, Republic of Korea., Kim WJ; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea., Lee SJ; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea., Kim Y; Department of Computer Science and Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea., Park SW; Department of Medical Informatics, School of Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.; Institute of Medical Science, School of Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea., Han SS; Department of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea., Choi HS; Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.

Publikováno v: Journal of clinical medicine [J Clin Med] 2023 Dec 20; Vol. 13 (1). Date of Electronic Publication: 2023 Dec 20.

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