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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
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Jeong, Chang Wook Jeong, CW 4 Seoul Natl Univ, Seoul Natl Univ Hosp, Dept Urol, Coll Med, Seoul 03080, South Korea toomey@catholic.ac.kr;
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Kwak, Cheol Kwak, C 5 Seoul Natl Univ, Seoul Natl Univ Hosp, Dept Urol, Coll Med, Seoul 03080, South Korea J-2731-2012 Kwak, Cheol toomey@catholic.ac.kr;
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Hwang, Eu Chang Hwang, EC 6 Chonnam Natl Univ, Med Sch, Dept Urol, Gwangju 61469, South Korea K-3680-2019 Hwang, Eu toomey@catholic.ac.kr;
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Kang, Seok Ho Kang, SH 7 Korea Univ, Sch Med, Dept Urol, Seoul 02841, South Korea toomey@catholic.ac.kr;
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Chung, Jinsoo Chung, J 8 Natl Canc Ctr, Dept Urol, Goyang 10408, South Korea toomey@catholic.ac.kr;
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Kim, Yong-June Kim, YJ 9 Chungbuk Natl Univ, Coll Med, Dept Urol, Cheongju 28644, South Korea E-5622-2012 Kim, Yong-June toomey@catholic.ac.kr;
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Ha, Yun-Sok Ha, YS 10 Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Urol, Daegu 41404, South Korea toomey@catholic.ac.kr;
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma Hong, Sung-Hoo Hong, SH 11 교신저자 Catholic Univ Korea, Seoul St Marys Hosp, Coll Med, Dept Urol, Seoul, South Korea toomey@catholic.ac.kr;
Machine learning of kesterite materials using cost-effective hybrid density functional theory Lee, Donggeon Lee, D 1 Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea sooran@knu.ac.kr;jisangpark@skku.edu;
Machine learning of kesterite materials using cost-effective hybrid density functional theory Kim, Sooran Kim, S 2 교신저자 Kyungpook Natl Univ, KNU Inst Basic Sci, KNU LAMP Res Ctr, Dept Phys Educ, Daegu 41566, South Korea sooran@knu.ac.kr;jisangpark@skku.edu;
Machine learning of kesterite materials using cost-effective hybrid density functional theory Park, Ji-Sang Park, JS 3 교신저자 Sungkyunkwan Univ SKKU, SKKU Adv Inst Nanotechnol SAINT, Suwon 16419, South Korea F-9944-2010 Park, Ji-Sang sooran@knu.ac.kr;jisangpark@skku.edu;
Machine learning of kesterite materials using cost-effective hybrid density functional theory Park, Ji-Sang Park, JS 3 교신저자 Sungkyunkwan Univ SKKU, Dept Nano Engn, Suwon 16419, South Korea F-9944-2010 Park, Ji-Sang sooran@knu.ac.kr;jisangpark@skku.edu;
Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties Kim, Jiyeon Kim, J 1 Kyungpook Natl Univ, Dept Phys Educ, Daegu 41566, South Korea sooran@knu.ac.kr;
Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties Kim, Jiyeon Kim, J 1 Kyungpook Natl Univ, Ctr High Energy Phys, Daegu 41566, South Korea sooran@knu.ac.kr;
Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties Lee, Donggeon Lee, D 2 Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea sooran@knu.ac.kr;
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