Cargando…

An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

BACKGROUND: Within the trauma system, the emergency department (ED) is the hospital’s first contact and is vital for allocating medical resources. However, there is generally limited information about patients that die in the ED. OBJECTIVE: The aim of this study was to develop an artificial intellig...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Seungseok, Kang, Wu Seong, Kim, Do Wan, Seo, Sang Hyun, Kim, Joongsuck, Jeong, Soon Tak, Yon, Dong Keon, Lee, Jinseok
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2023
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498319/ https://www.ncbi.nlm.nih.gov/pubmed/37642984 http://dx.doi.org/10.2196/49283

Ejemplares similares

Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea
por: Lee, Seungseok, et al.
Publicado: (2022)

Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation
por: Chung, Heewon, et al.
Publicado: (2021)

Stakeholders’ Requirements for Artificial Intelligence for Healthcare in Korea
por: Yu, Jae Yong, et al.
Publicado: (2022)

Artificial Intelligence–Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study
por: Jang, Woocheol, et al.
Publicado: (2023)

Artificial intelligence to predict in-hospital mortality using novel anatomical injury score
por: Kang, Wu Seong, et al.
Publicado: (2021)

Preventable trauma death rate in Daegu, South Korea
por: Moon, Sungbae, et al.
Publicado: (2015)

National Trends in Rotavirus Enteritis among Infants in South Korea, 2010–2021: A Nationwide Cohort
por: Lee, Hyun Jee, et al.
Publicado: (2023)

Artificial Intelligence in Cryo-Electron Microscopy
por: Chung, Jeong Min, et al.
Publicado: (2022)

Diagnostic Accuracy of Ultrasonographic Respiratory Variation in the Inferior Vena Cava, Subclavian Vein, Internal Jugular Vein, and Femoral Vein Diameter to Predict Fluid Responsiveness: A Systematic Review and Meta-Analysis
por: Kim, Do-Wan, et al.
Publicado: (2021)

Artificial‐intelligence‐driven discovery of prognostic biomarker for sarcopenia
por: Chung, Heewon, et al.
Publicado: (2021)

Gender Bias in Artificial Intelligence: Severity Prediction at an Early Stage of COVID-19
por: Chung, Heewon, et al.
Publicado: (2021)

An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model
por: Ko, Hoon, et al.
Publicado: (2020)

Efficacy and Safety of Laparoscopy for Mild and Moderate Pediatric Abdominal Trauma: A Systematic Review and Meta-Analysis
por: Park, Yun Chul, et al.
Publicado: (2022)

Preventable Trauma Death Rate in South Korea
por: Jung, In-Ho, et al.
Publicado: (2023)

Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry
por: Kim, Kyung Won, et al.
Publicado: (2023)

Estimated prevalence and trends in smoking among adolescents in South Korea, 2005–2021: a nationwide serial study
por: Shin, Hyoin, et al.
Publicado: (2023)

National trends in rheumatoid arthritis and osteoarthritis prevalence in South Korea, 1998–2021
por: Park, Jaeyu, et al.
Publicado: (2023)

Metabolic risks in living kidney donors in South Korea
por: Kang, Eunjeong, et al.
Publicado: (2021)

COVID-19 Morbidity and Severity in Patients With Nonalcoholic Fatty Liver Disease in South Korea: A Nationwide Cohort Study
por: Yoo, Hae Won, et al.
Publicado: (2022)

Association between mental illness and COVID-19 in South Korea: a post-hoc analysis
por: Lee, Seung Won, et al.
Publicado: (2021)

Association Between Dementia Development and COVID-19 among Individuals Who Tested Negative for COVID-19 in South Korea: A Nationwide Cohort Study
por: Kim, Namwoo, et al.
Publicado: (2022)

Electric Scooter-Related Trauma in Korea
por: Choi, Jun Ho, et al.
Publicado: (2022)

Applications of artificial intelligence in the emergency department
por: Moulik, Supratik K., et al.
Publicado: (2020)

Autoimmune inflammatory rheumatic diseases and COVID-19 outcomes in South Korea: a nationwide cohort study
por: Shin, Youn Ho, et al.
Publicado: (2021)

A content analysis of YouTube videos on tinnitus in South Korea
por: Seo, Hee Won, et al.
Publicado: (2023)

Preparing pathological data to develop an artificial intelligence model in the nonclinical study
por: Hwang, Ji-Hee, et al.
Publicado: (2023)

Artificial Intelligence-Based Optimal Grasping Control
por: Kim, Dongeon, et al.
Publicado: (2020)

Increasing Trend of Isolation of Non-Tuberculous Mycobacteria in a Tertiary University Hospital in South Korea
por: Yoo, Jung-Wan, et al.
Publicado: (2012)

Rapid Increase of Scrub Typhus, South Korea, 2001–2006
por: Kweon, Sun-Seog, et al.
Publicado: (2009)

Trend analysis of diabetic prevalence and incidence in a rural area of South Korea between 2003–2008
por: Jeong, Ji Yun, et al.
Publicado: (2010)

Nationwide Results of COVID-19 Contact Tracing in South Korea: Individual Participant Data From an Epidemiological Survey
por: Lee, Seung Won, et al.
Publicado: (2020)

Elementary school students' awareness of the use of artificial intelligence chatbots in violence prevention education in South Korea: a descriptive study
por: Kang, Kyung-Ah, et al.
Publicado: (2022)

Characteristics of kidney transplantation recipients over time in South Korea
por: Park, Sehoon, et al.
Publicado: (2020)

Artificial intelligence decision points in an emergency department
por: Chang, Hansol, et al.
Publicado: (2022)

Characteristics of Patients Who Visited Emergency Department: A Nationwide Population-Based Study in South Korea (2016–2018)
por: Hong, Seok-In, et al.
Publicado: (2022)

Prediction of Fishman’s skeletal maturity indicators using artificial intelligence
por: Kim, Harim, et al.
Publicado: (2023)

A Retrospective Clinical Evaluation of an Artificial Intelligence Screening Method for Early Detection of STEMI in the Emergency Department
por: Kim, Dongsung, et al.
Publicado: (2022)

Trends of Epilepsy-Related Mortality in South Korea
por: Moon, Seul Gi, et al.
Publicado: (2023)

Prevalence and clinical correlates of dissociative subtype of posttraumatic stress disorder at an outpatient trauma clinic in South Korea
por: Kim, Daeho, et al.
Publicado: (2019)

Emergency Department as the Entry Point to Inpatient Care: A Nationwide, Population-Based Study in South Korea, 2016–2018
por: Kim, June-sung, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_bnjjk9cl987mnigcbnc040fcuq