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: Retrospective Cohort Study (Preprint)

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

BACKGROUND Prediction of successful weaning from mechanical ventilation in advance to intubation can facilitate discussions regarding end-of-life care before unnecessary intubation. OBJECTIVE We aimed to develop a machine-learning-based model that pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e1e7f0558242c86c17b9046a4e515966
https://doi.org/10.2196/preprints.44763

Early Identification of Resuscitated Patients with a Significant Coronary Disease in Out-of-Hospital Cardiac Arrest Survivors without ST-Segment Elevation

Autor: Chun Song Youn, Hahn Yi, Youn-Jung Kim, Namkug Kim, Won Young Kim, Hwan Song

Publikováno v: Journal of Clinical Medicine
Journal of Clinical Medicine, Vol 10, Iss 5688, p 5688 (2021)
Journal of Clinical Medicine; Volume 10; Issue 23; Pages: 5688

This study aimed to develop a machine learning (ML)-based model for identifying patients who had a significant coronary artery disease among out-of-hospital cardiac arrest (OHCA) survivors without ST-segment elevation (STE). This multicenter observat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e64ea4139c372d910f629fb4b23f695
https://pubmed.ncbi.nlm.nih.gov/34884390

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