This paper is in the following e-collection/theme issue:

Artificial Intelligence (1409) Natural Language Processing (704) Clinical Information and Decision Making (1426) Machine Learning (1491) Clinical Informatics (1045) Decision Support for Health Professionals (1203)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43757, first published .
Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea

Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea

Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea

Authors of this article:

Seungseok Lee1 Author Orcid Image ;   Wu Seong Kang2 Author Orcid Image ;   Sanghyun Seo3 Author Orcid Image ;   Do Wan Kim4 Author Orcid Image ;   Hoon Ko1 Author Orcid Image ;   Joongsuck Kim2 Author Orcid Image ;   Seonghwa Lee5 Author Orcid Image ;   Jinseok Lee1 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Journals

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  2. Lee S, Kang W, Kim D, Seo S, Kim J, Jeong S, Yon D, Lee J. An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study. Journal of Medical Internet Research 2023;25:e49283 View
  3. Alrashidi N, Alrashidi M, Mejahed S, Eltahawi A. Predicting hospital disposition for trauma patients: application of data-driven machine learning algorithms. AIMS Mathematics 2024;9(4):7751 View
  4. Zhang G, Li B, Gu Z, Yang W, Wang Y, Li H, Zheng H, Yue Y, Wang K, Gong M, Gong D. In-Depth Examination of the Functionality and Performance of the Internet Hospital Information Platform: Development and Usability Study. Journal of Medical Internet Research 2024;26:e54018 View
  5. Niu L, Zhang Y, Dai W, Wang R. Association between nutritional status, injury severity, and physiological responses in trauma patients. Frontiers in Physiology 2024;15 View
  6. Porto B. Improving triage performance in emergency departments using machine learning and natural language processing: a systematic review. BMC Emergency Medicine 2024;24(1) View