Korean public and hospital data for estimating LDL-cholesterol

Taesic Lee; Juwon Kim; Young Uh; Hyunju Lee

doi:10.1016/j.dib.2018.12.009

Korean public and hospital data for estimating LDL-cholesterol

Data Brief. 2018 Dec 7:22:204-206. doi: 10.1016/j.dib.2018.12.009. eCollection 2019 Feb.

Authors

Taesic Lee¹, Juwon Kim², Young Uh², Hyunju Lee^{1

3}

Affiliations

¹ Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
² Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju, South Korea.
³ School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea.

Abstract

The data is composed of 14,812 subjects, and was obtained from the Korean National Health and Nutritional Examination Survey (KNHANES) from 2009 to 2015. The KNHANES data is publicly available at https://knhanes.cdc.go.kr/knhanes/eng/index.do. By using random annotated ID, all subjects can be anonymous. The dataset consisting of 4520 participants was obtained from Wonju Severance Christian Hospital (WSCH) in South Korea. To protect the patient׳s personal information, we removed ID and gender of patients. Detail information of the data presented in the present article is available in the research article "Deep neural network for estimating low density lipoprotein cholesterol" (Lee et al., 2018).