Výsledky vyhledávání - "Seunghwak Kim"

Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database

Autor: Min-Gyo Jang, SangHun Cha, Seunghwak Kim, Sojung Lee, Kyeong Eun Lee, Kwang-Hee Shin

Safety issues for fluoroquinolones have been provided by regulatory agencies. This study was conducted to identify signals of fluoroquinolones reported in the Korea Adverse Event Reporting System (KAERS) using tree-based machine learning (ML) methods

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40bd33753f88278b4ee954911e06f757

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A methodology research for analyzing the effects of industrial safety and health act on work accident reduction

Autor: Taegyun Kim, Jeongeun Lee, Seunghwak Kim, Gao xin mung, Gyo-Young Cho

Publikováno v: Journal of the Korean Data And Information Science Society. 31:741-756

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7016f50d09cfdc87601c1f2174fa8d63
https://doi.org/10.7465/jkdi.2020.31.5.741

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