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2023 연구성과별 연구자 정보 (31 / 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
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Beom Kyung Kim, BK 11 교신저자 Yonsei Univ, Coll Med, Dept Internal Med, 50-1 Yonsei Ro, Seoul 03722, South Korea I-5501-2015 Kim, Kyung 0000-0002-5363-2496 Kim, Beom Kyung beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Beom Kyung Kim, BK 11 교신저자 Yonsei Univ, Coll Med, Inst Gastroenterol, Seoul, South Korea I-5501-2015 Kim, Kyung 0000-0002-5363-2496 Kim, Beom Kyung beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Beom Kyung Kim, BK 11 교신저자 Severance Hosp, Yonsei Liver Ctr, Seoul, South Korea I-5501-2015 Kim, Kyung 0000-0002-5363-2496 Kim, Beom Kyung beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Seung Up Kim, SU 12 교신저자 Yonsei Univ, Coll Med, Dept Internal Med, 50-1 Yonsei Ro, Seoul 03722, South Korea L-4239-2013 Kim, Sun 0000-0002-9658-8050 Kim, Seung Up beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Seung Up Kim, SU 12 교신저자 Yonsei Univ, Coll Med, Inst Gastroenterol, Seoul, South Korea L-4239-2013 Kim, Sun 0000-0002-9658-8050 Kim, Seung Up beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Seung Up Kim, SU 12 교신저자 Severance Hosp, Yonsei Liver Ctr, Seoul, South Korea L-4239-2013 Kim, Sun 0000-0002-9658-8050 Kim, Seung Up beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Park, Jin Joo Park, JJ 1 Univ Calif San Diego, Cardiol Dept, La Jolla, CA 92093 USA bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Park, Jin Joo Park, JJ 1 Seoul Natl Univ, Coll Med, Cardiovasc Ctr, Dept Internal Med,Bundang Hosp,Div Cardiol, Seoul, South Korea bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Jang, Se Yong Jang, SY 2 Univ Calif San Diego, Cardiol Dept, La Jolla, CA 92093 USA bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Jang, Se Yong Jang, SY 2 Kyungpook Natl Univ, Sch Med, Dept Internal Med, Div Cardiol, Daegu, South Korea bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Adler, Eric Adler, E 3 Univ Calif San Diego, Cardiol Dept, La Jolla, CA 92093 USA bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Ahmad, Faraz Ahmad, F 4 Northwestern Univ, Med Ctr, Chicago, IL USA bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Campagnari, Claudio Campagnari, C 5 Univ Calif Santa Barbara, Phys Dept, Santa Barbara, CA USA bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Yagil, Avi Yagil, A 6 Univ Calif San Diego, Phys Dept, La Jolla, CA USA I-3278-2018 yagil, avi bgreenberg@health.ucsd.edu;
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure Greenberg, Barry Greenberg, B 7 교신저자 Univ Calif San Diego, Cardiol Dept, La Jolla, CA 92093 USA bgreenberg@health.ucsd.edu;
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