文献
J-GLOBAL ID:202202246049574623
整理番号:22A0842923
緊急部門を受診する呼吸器疾患患者における大気汚染と気象の影響に関する機械学習に基づく研究【JST・京大機械翻訳】
A Machine Learning-Based Study of the Effects of Air Pollution and Weather in Respiratory Disease Patients Visiting Emergency Departments
著者 (10件):
Lee Eu Sun
(Department of Emergency Medicine, Korea University College of Medicine, Seoul, Republic of Korea)
,
Kim Jung-Youn
(Department of Emergency Medicine, Korea University College of Medicine, Seoul, Republic of Korea)
,
Yoon Young-Hoon
(Department of Emergency Medicine, Korea University College of Medicine, Seoul, Republic of Korea)
,
Kim Seoung Bum
(School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea)
,
Kahng Hyungu
(School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea)
,
Park Jinhyeok
(School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea)
,
Kim Jaehoon
(School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea)
,
Lee Minjae
(School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea)
,
Hwang Haeun
(School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea)
,
Park Sung Joon
(Department of Emergency Medicine, Korea University College of Medicine, Seoul, Republic of Korea)
資料名:
Emergency Medicine International (Web)
(Emergency Medicine International (Web))
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
U7701A
ISSN:
2090-2840
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)