
Articles
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3 weeks ago |
mdpi.com | Min Suk Chae |Jin-Oh Jeong |Kyung Lee |Wonwoo Jeong
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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3 weeks ago |
onlinelibrary.wiley.com | Kyung Lee |Jeong Eun Jeon |Mi Hyun Lee |Jooyoung Lee
1 Introduction Shift work follows non-standard working hours (e.g., from 7:00 a.m. to 6:00 p.m.) that often misalign natural circadian rhythms, approximately a 24 h wake–sleep cycle (Torquati et al. 2019). Shift work is essential for providing adequate services and productivity in several workplaces, including healthcare, transportation and protective services (Brown et al. 2020).
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Nov 21, 2024 |
ami.info.umfcluj.ro | Ki-Byung Lee |Kyung Lee |Sungsoo Hong |Hyunwoo CHOO
Abstract Early diagnosis of sepsis is crucial in clinical practice. Several studies have proposed sepsis prediction models to forecast the onset of sepsis in hospitals. However, validation of prediction models for community-onset sepsis, which is sepsis developed before admission to the hospital, is insufficient. This study investigates the relationship between the in-hospital prediction model scores and community-onset sepsis.
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Nov 21, 2024 |
ami.info.umfcluj.ro | Ki-Byung Lee |Sungsoo Hong |Hyunwoo CHOO |Kyung Lee
Abstract In production settings, deep learning models often rely on fixed thresholds. This study investigates whether using varying thresholds over time enhances predictive accuracy and clinical utility, especially for early sepsis prediction. We retrospectively analyzed EMR data from Hallym University Chuncheon Sacred Heart Hospital (2018-2022), excluding patients aged under 18 or without vital signs.
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Nov 14, 2024 |
journals.plos.org | Kyung Lee |Min-Young Song |Sora Lee |Jinsun Park
The funding statement for this paper is incorrect. The correct funding statement is as follows: This research was supported by a grant from the National Research Foundation (grant number 2022R1A2C2008867), awarded to Prof. Weon Kim. Reference1. Lee KH, Song M- Y, Lee S, Park J, Kang JH, Cho H, et al. (2024) Nitric oxide releasing nanofiber stimulates revascularization in response to ischemia via cGMP-dependent protein kinase. PLoS ONE 19(5): e0303758. https://doi.org/10.1371/journal.pone.0303758.
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