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2023 연구성과별 연구자 정보 (446 / 2675)

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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Comparative Analysis of High-Intensity versus Low-to-Moderate Intensity Statin Therapy in Patients Undergoing Rotational Atherectomy for Calcified Coronary Artery Disease Lee, Jang-Hoon Lee, JH 14 Kyungpook Natl Univ Hosp, Dept Internal Med, Daegu 41944, South Korea 0000-0002-7101-0236 Lee, Jang Hoon hhhsungho@naver.com;medorche@naver.com;
Comparative Analysis of High-Intensity versus Low-to-Moderate Intensity Statin Therapy in Patients Undergoing Rotational Atherectomy for Calcified Coronary Artery Disease Lee, Sang-Rok Lee, SR 15 교신저자 Jeonbuk Natl Univ Hosp, Dept Cardiol, Jeonju 54907, South Korea hhhsungho@naver.com;medorche@naver.com;
Comparative Analysis of High-Intensity versus Low-to-Moderate Intensity Statin Therapy in Patients Undergoing Rotational Atherectomy for Calcified Coronary Artery Disease Lee, Seung-Whan Lee, SW 16 Univ Ulsan, Coll Med, Asan Med Ctr, Dept Cardiol, Seoul 05505, South Korea hhhsungho@naver.com;medorche@naver.com;
Comparative Analysis of High-Intensity versus Low-to-Moderate Intensity Statin Therapy in Patients Undergoing Rotational Atherectomy for Calcified Coronary Artery Disease Yun, Kyeong-Ho Yun, KH 17 Wonkwang Univ Hosp, Reg Cardiocerebrovasc Ctr, Dept Cardiovasc Med, Iksan 54538, South Korea IYS-8810-2023 Yun, Kyeong Ho 0000-0003-4911-8854 Yun, Kyeong Ho hhhsungho@naver.com;medorche@naver.com;
Comparative Analysis of High-Intensity versus Low-to-Moderate Intensity Statin Therapy in Patients Undergoing Rotational Atherectomy for Calcified Coronary Artery Disease Lee, Hyun-Jong Lee, HJ 18 Sejong Gen Hosp, Dept Internal Med, Bucheon 14754, South Korea 0000-0003-1260-0778 Lee, Hyun-Jong hhhsungho@naver.com;medorche@naver.com;
Comparative Analysis of High-Intensity versus Low-to-Moderate Intensity Statin Therapy in Patients Undergoing Rotational Atherectomy for Calcified Coronary Artery Disease Diez-Juan, Antonio Diez-Juan, A 19 hhhsungho@naver.com;medorche@naver.com;
Comparative analysis of model performance for predicting the customer of cafeteria using unstructured data Kim, Seungsik Kim, S 1 Kyungpook Natl Univ, Dept Stat, Daegu, South Korea leekj@kumoh.ac.kr;
Comparative analysis of model performance for predicting the customer of cafeteria using unstructured data Gu, Nami Gu, N 2 Pusan Natl Univ, Dept Stat, Busan, South Korea leekj@kumoh.ac.kr;
Comparative analysis of model performance for predicting the customer of cafeteria using unstructured data Moon, Jeongin Moon, J 3 Yeungnam Univ, Dept Stat, Gyongsan, South Korea leekj@kumoh.ac.kr;
Comparative analysis of model performance for predicting the customer of cafeteria using unstructured data Kim, Keunwook Kim, K 4 Daegu Digital Innovat Agcy, Big Data Utilizat Ctr, Daegu, South Korea leekj@kumoh.ac.kr;
Comparative analysis of model performance for predicting the customer of cafeteria using unstructured data Hwang, Yeongeun Hwang, Y 5 Korea Ind Complex Corp, Ind Complex Promot Dept, Daegu, South Korea leekj@kumoh.ac.kr;
Comparative analysis of model performance for predicting the customer of cafeteria using unstructured data Lee, Kyeongjun Lee, K 6 교신저자 Kumoh Natl Inst Technol, Dept Math & Big Data Sci, 61 Daehak Ro, Gumi 39177, Gyeongbuk, South Korea leekj@kumoh.ac.kr;
Comparative analysis of organic chemical compositions in airborne particulate matter from Ulaanbaatar, Beijing, and Seoul using UPLC-FT-ICR-MS and artificial neural network Son, Seungwoo Son, S 1 Kyungpook Natl Univ, Dept Chem, Daegu 41566, South Korea yhkim@kbsi.re.kr;sunghwank@knu.ac.kr;
Comparative analysis of organic chemical compositions in airborne particulate matter from Ulaanbaatar, Beijing, and Seoul using UPLC-FT-ICR-MS and artificial neural network Park, Moonhee Park, M 2 Korea Basic Sci Inst, Biochem Anal Team, Cheongju 28119, South Korea yhkim@kbsi.re.kr;sunghwank@knu.ac.kr;
Comparative analysis of organic chemical compositions in airborne particulate matter from Ulaanbaatar, Beijing, and Seoul using UPLC-FT-ICR-MS and artificial neural network Jang, Kyoung-Soon Jang, KS 3 Korea Basic Sci Inst, Biochem Anal Team, Cheongju 28119, South Korea yhkim@kbsi.re.kr;sunghwank@knu.ac.kr;
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