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
  • [41] Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI
    Roca, P.
    Attye, A.
    Colas, L.
    Tucholka, A.
    Rubini, P.
    Cackowski, S.
    Ding, J.
    Budzik, J. -F.
    Renard, F.
    Doyle, S.
    Barbier, E. L.
    Bousaid, I.
    Casey, R.
    Vukusic, S.
    Lassau, N.
    Verclytte, S.
    Cotton, F.
    DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2020, 101 (12) : 795 - 802
  • [42] Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning
    Aria Zand
    Zack Stokes
    Arjun Sharma
    Welmoed K. van Deen
    Daniel Hommes
    Digestive Diseases and Sciences, 2022, 67 : 4874 - 4885
  • [43] Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning
    Zand, Aria
    Stokes, Zack
    Sharma, Arjun
    van Deen, Welmoed K.
    Hommes, Daniel
    DIGESTIVE DISEASES AND SCIENCES, 2022, 67 (10) : 4874 - 4885
  • [44] Older Patients' Understanding of Emergency Department Discharge Information and Its Relationship With Adverse Outcomes
    Hastings, Susan N.
    Barrett, Amanda
    Weinberger, Morris
    Oddone, Eugene Z.
    Ragsdale, Luna
    Hocker, Michael
    Schmader, Kenneth E.
    JOURNAL OF PATIENT SAFETY, 2011, 7 (01) : 19 - 25
  • [45] Unplanned ICU admissions and implications for adverse outcomes in a prospective cohort of older patients admitted through the emergency department
    Machado, Fernando P.
    Aliberti, Marlon J. R.
    Silva, Vinicius B. O.
    V. Morinaga, Christian
    Avelino-Silva, Thiago J.
    Curiati, Pedro K.
    JOURNAL OF CRITICAL CARE, 2023, 78
  • [46] Evaluation of the HEFESTOS scale to predict outcomes in emergency department acute heart failure patients
    Adriana Gil-Rodrigo
    José María Verdú-Rotellar
    Víctor Gil
    Aitor Alquézar
    Lluís Llauger
    Pablo Herrero-Puente
    Javier Jacob
    Rosa Abellana
    Miguel-Ángel Muñoz
    María-Pilar López-Díez
    Nicole Ivars-Obermeier
    Begoña Espinosa
    Beatriz Rodríguez
    Marta Fuentes
    Josep Tost
    M. Luisa López-Grima
    Rodolfo Romero
    Christian Müller
    WFrank Peacock
    Pere Llorens
    Òscar Miró
    Internal and Emergency Medicine, 2022, 17 : 2129 - 2140
  • [47] Evaluation of the HEFESTOS scale to predict outcomes in emergency department acute heart failure patients
    Gil-Rodrigo, Adriana
    Verdu-Rotellar, Jose Maria
    Gil, Victor
    Alquezar, Aitor
    Llaugers, Lluis
    Herrero-Puente, Pablo
    Jacob, Javier
    Abellana, Rosa
    Munoz, Miguel-Angel
    Lopez-Diez, Maria-Pilar
    Ivars-Obermeier, Nicole
    Espinosa, Begoiia
    Rodriguezl, Beatriz
    Fuentes, Marta
    Tost, Josep
    Lopez-Grima, M. Luisa
    Romero, Rodolfo
    Muller, Christian
    Peacock, WFrank
    Llorens, Pere
    Miro, Oscar
    INTERNAL AND EMERGENCY MEDICINE, 2022, 17 (07) : 2129 - 2140
  • [48] Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data
    Han, Changho
    Jung, Yun Jung
    Park, Ji Eun
    Chung, Wou Young
    Yoon, Dukyong
    YONSEI MEDICAL JOURNAL, 2025, 66 (02) : 121 - 130
  • [49] Developing Adult Sepsis Protocol to Reduce the Time to Initial Antibiotic Dose and Improve Outcomes among Patients with Cancer in Emergency Department
    Bader, Mustafa Z.
    Obaid, Abdullah T.
    Al-Khateb, Hisham M.
    Eldos, Yazeed T.
    Elaya, Moath M.
    ASIA-PACIFIC JOURNAL OF ONCOLOGY NURSING, 2020, 7 (04) : 355 - 360
  • [50] Emergency department boarding and adverse hospitalization outcomes among patients admitted to a general medical service
    Lord, Kito
    Parwani, Vivek
    Ulrich, Andrew
    Finn, Emily B.
    Rothenberg, Craig
    Emerson, Beth
    Rosenberg, Alana
    Venkatesh, Arjun K.
    AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2018, 36 (07) : 1246 - 1248