Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database

Autor: Jinchul Kim, Yun Kwan Kim, Hyeyeon Kim, Hyojung Jung, Soonjeong Koh, Yujeong Kim, Dukyong Yoon, Hahn Yi, Hyung-Jun Kim

Publikováno v: JMIR Formative Research, Vol 7, p e44763 (2023)

BackgroundThe prediction of successful weaning from mechanical ventilation (MV) in advance of intubation can facilitate discussions regarding end-of-life care before unnecessary intubation. ObjectiveWe aimed to develop a machine learning–based mod

Externí odkaz: https://doaj.org/article/23735d5222414fc5b71f64051194bae1

Association between long-term exposure to air pollutants and cardiopulmonary mortality rates in South Korea

Autor: Jeongeun Hwang, Jinhee Kwon, Hahn Yi, Hyun-Jin Bae, Miso Jang, Namkug Kim

Publikováno v: BMC Public Health, Vol 20, Iss 1, Pp 1-8 (2020)

Abstract Background The association between long-term exposure to air pollutants, including nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3), and particulate matter 10 μm or less in diameter (PM10), and mortality by isc

Externí odkaz: https://doaj.org/article/b87ea1e8b7814bc2a3c57fa191ffdebd

Machine Learning Algorithms Predict Successful Weaning from Mechanical Ventilation Before Intubation

Autor: Hyung-Jun Kim, Jinchul Kim, Yun Kwan Kim, Hyeyeon Kim, Hyojung Jung, Soonjeong Koh, Yujeong Kim, Dukyong Yoon, Hahn Yi

Prediction of successful weaning from mechanical ventilation in advance to intubation can facilitate discussions regarding end-of-life care before unnecessary intubation. In this context, we aimed to develop a machine-learning-based model that predic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a205d724b7f7bcf136a738141dc99894
https://doi.org/10.21203/rs.3.rs-2232223/v1

15-Deoxy-Δ ^12,14 -prostaglandin J 2 binds and inactivates STAT3 via covalent modification of cysteine 259 in H-Ras-transformed human breast epithelial cells.

Autor: Kim SJ; Tumor Microenvironment Global Core Research Center, College of Pharmacy, Seoul National University, Korea., Cho NC; Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Korea., Han B; Department of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Korea., Kim K; Tumor Microenvironment Global Core Research Center, College of Pharmacy, Seoul National University, Korea., Hahn YI; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea., Kim KP; Department of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Korea.; Department of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Korea., Suh YG; College of Pharmacy, CHA University, Gyeonggi-do, Korea., Choi BY; Department of Pharmaceutical Science and Engineering, School of Convergence Bioscience and Technology, Seowon University, Chungbuk, Korea., Na HK; Department of Food Science and Biotechnology, College of Knowledge Based Services Engineering, Sungshin Women's University, Seoul, Korea., Surh YJ; Tumor Microenvironment Global Core Research Center, College of Pharmacy, Seoul National University, Korea.; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.; Cancer Research Institute, Seoul National University, Korea.

Publikováno v: FEBS letters [FEBS Lett] 2021 Mar; Vol. 595 (5), pp. 604-622. Date of Electronic Publication: 2021 Feb 08.

Association between long-term exposure to ambient air pollutants and mortality rates because of circulatory and respiratory diseases in South Korea

Autor: Jeongeun Hwang, Hyun-Jin Bae, Namkug Kim, Jinhee Kwon, Hahn Yi, Miso Jang

Background : Associations between long-term exposure to common air pollutants including nitrogen dioxide, carbon monoxide, sulfur dioxide (SO 2 ), ozone, and particulate matter (PM 10 ) and health consequences have been studied. We investigated spati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac719f813b970718ec7ba49c7d0fe87c
https://doi.org/10.21203/rs.2.23984/v1