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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
Prediction of Strawberry Growth and Fruit Yield based on Environmental and Growth Data in a Greenhouse for Soil Cultivation with Applied Autonomous Facilities Kim, Sung Kyeom Kim, SK 5 교신저자 Kyungpook Natl Univ, Coll Agr & Sci, Dept Hort Sci, Daegu 41566, South Korea AAD-9230-2019 Kim, Sung Kyeom skkim76@knu.ac.kr;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Noh, Junhyug Noh, J 1 Seoul Natl Univ, Coll Engn, Dept Comp Sci & Engn, Seoul, South Korea ADR-6172-2022 Noh, Junhyug 0000-0003-1239-8178 Noh, Junhyug gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Yoo, Kyung Don Yoo, KD 2 Univ Ulsan, Ulsan Univ Hosp, Dept Internal Med, Coll Med, Ulsan, South Korea AAK-8096-2020 Yoo, Kyung 0000-0001-6545-6517 Yoo, Kyung Don gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Bae, Wonho Bae, W 3 Univ Massachusetts, Coll Informat & Comp Sci, Amherst, MA 01003 USA 0000-0002-6678-5299 Bae, Wonho gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Lee, Jong Soo Lee, JS 4 Univ Ulsan, Ulsan Univ Hosp, Dept Internal Med, Coll Med, Ulsan, South Korea gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Kim, Kangil Kim, K 5 Gwangju Inst Sci & Technol GIST, Sch Elect Engn & Comp Sci, Gwangju, South Korea MHQ-0084-2025 Kim, Kangil gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Cho, Jang-Hee Cho, JH 6 Kyungpook Natl Univ, Dept Internal Med, Coll Med, Daegu, South Korea ABD-3534-2020 Cho, Jang-hee gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Lee, Hajeong Lee, H 7 Seoul Natl Univ Hosp, Dept Internal Med, Seoul, South Korea N-5963-2019 Lee, Jun-Young gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Kim, Dong Ki Kim, DK 8 Seoul Natl Univ Hosp, Dept Internal Med, Seoul, South Korea J-5389-2012 Kim, Dong Ki 0000-0002-5195-7852 Kim, Dong Ki gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Kim, Dong Ki Kim, DK 8 Seoul Natl Univ, Dept Internal Med, Coll Med, Seoul, South Korea J-5389-2012 Kim, Dong Ki 0000-0002-5195-7852 Kim, Dong Ki gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Lim, Chun Soo Lim, CS 9 Seoul Natl Univ, Dept Internal Med, Coll Med, Seoul, South Korea 0000-0001-9123-6542 Lim, Chun Soo gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Lim, Chun Soo Lim, CS 9 Seoul Natl Univ, Dept Internal Med, Boramae Med Ctr, Seoul, South Korea 0000-0001-9123-6542 Lim, Chun Soo gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Kang, Shin-Wook Kang, SW 10 Yonsei Univ, Dept Internal Med, Coll Med, Seoul, South Korea 0000-0002-5677-4756 Kang, Shin-Wook gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Kim, Yong-Lim Kim, YL 11 Kyungpook Natl Univ, Dept Internal Med, Coll Med, Daegu, South Korea AGK-3172-2022 Kim, Yong-Lim gunhee@snu.ac.kr;nephrolee@gmail.com;
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea Kim, Yon Su Kim, YS 12 Seoul Natl Univ Hosp, Dept Internal Med, Seoul, South Korea gunhee@snu.ac.kr;nephrolee@gmail.com;
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