Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time

被引：0
|
作者：
Chin-Chuan Hsu
Yuan Kao
Chien-Chin Hsu
Chia-Jung Chen
Shu-Lien Hsu
Tzu-Lan Liu
Hung-Jung Lin
Jhi-Joung Wang
Chung-Feng Liu
Chien-Cheng Huang
机构：
[1] Chi Mei Medical Center,Department of Emergency Medicine
[2] College of Health Sciences,Graduate Institute of Medical Sciences
[3] Chang Jung Christian University, School of Medicine, College of Medicine
[4] National Sun Yat-sen university,Information Systems
[5] Chi Mei Medical Center,Department of Nursing
[6] Chi Mei Medical Center,Department of Emergency Medicine
[7] Taipei Medical University,Department of Anesthesiology
[8] Chi Mei Medical Center,Department of Anesthesiology
[9] National Defense Medical Center,Department of Medical Research
[10] Chi Mei Medical Center,Department of Emergency Medicine
[11] Kaohsiung Medical University,Department of Environmental and Occupational Health, College of Medicine
[12] National Cheng Kung University,undefined
来源：
BMC Endocrine Disorders | / 23卷
关键词：
Adverse outcome; Artificial intelligence; Emergency department; Hyperglycemic crises; Intensive care unit; Machine learning; Mortality; Multilayer perceptron; Sepsis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Using Artificial Intelligence to predict outcomes of operatively managed neck of femur fractures
    Silva, Geeth
    Ashford, Robert
    BRITISH JOURNAL OF HOSPITAL MEDICINE, 2024, 85 (06)
  • [22] The Association Between Emergency Department Crowding and Adverse Cardiovascular Outcomes in Patients with Chest Pain
    Pines, Jesse M.
    Pollack, Charles V., Jr.
    Diercks, Deborah B.
    Chang, Anna Marie
    Shofer, Frances S.
    Hollander, Judd E.
    ACADEMIC EMERGENCY MEDICINE, 2009, 16 (07) : 617 - 625
  • [23] Effect of Applying a Real-Time Medical Record Input Assistance System With Voice Artificial Intelligence on Triage Task Performance in the Emergency Department: Prospective Interventional Study
    Cho, Ara
    Min, In Kyung
    Hong, Seungkyun
    Chung, Hyun Soo
    Lee, Hyun Sim
    Kim, Ji Hoon
    JMIR MEDICAL INFORMATICS, 2022, 10 (08)
  • [24] Artificial intelligence to predict overall survivals of patients with cirrhosis and outcomes of variceal bleeding
    Simsek, Cem
    Sahin, Hasan
    Tekin, Ibrahim Emir
    Sahin, Taha Koray
    Balaban, Hatice Yasemin
    Sivri, Bulent
    HEPATOLOGY FORUM, 2021, 2 (02): : 55 - 59
  • [25] Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review
    Mohammadi, Ida
    Firouzabadi, Sharyar Rajai
    Hosseinpour, Melika
    Akhlaghpasand, Mohammadhosein
    Hajikarimloo, Bardia
    Zeraatian-Nejad, Sam
    Nia, Peyman Sardari
    BMC CARDIOVASCULAR DISORDERS, 2024, 24 (01):
  • [26] Can the characteristics of emergency department attendances predict poor hospital outcomes in patients with sepsis?
    Ibrahim, Irwani
    Jacobs, Ian G.
    SINGAPORE MEDICAL JOURNAL, 2013, 54 (11) : 634 - 638
  • [27] An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study
    Lee, Seungseok
    Kang, Wu Seong
    Kim, Do Wan
    Seo, Sang Hyun
    Kim, Joongsuck
    Jeong, Soon Tak
    Yon, Dong Keon
    Lee, Jinseok
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [28] Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis
    Raina, Rupesh
    Shah, Raghav
    Nemer, Paul
    Fehlmen, Jared
    Nemer, Lena
    Murra, Ali
    Tibrewal, Abhishek
    Sethi, Sidharth Kumar
    Neyra, Javier A.
    Koyner, Jay
    CLINICAL KIDNEY JOURNAL, 2024, 17 (06)
  • [29] Using machine learning tools to predict outcomes for emergency department intensive care unit patients
    Zhai, Qiangrong
    Lin, Zi
    Ge, Hongxia
    Liang, Yang
    Li, Nan
    Ma, Qingbian
    Ye, Chuyang
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [30] Time Spent in the Emergency Department and Outcomes in Patients With Severe Sepsis and Septic Shock
    Hirschy, RaeAnn
    Sterk, Ethan
    Dobersztyn, Rachel
    Rech, Megan A.
    ADVANCED EMERGENCY NURSING JOURNAL, 2018, 40 (02) : 94 - 103
12345