Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission.
Ayman El-MenyarMashhood NaduvilekandyMohammad AsimSandro RizoliHassan Al-ThaniPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- machine learning models
- intensive care
- vital signs
- machine learning algorithms
- spam filtering
- emergency department
- patient data
- machine learning approaches
- prognostic models
- intensive care unit
- health care
- early diagnosis
- traumatic brain injury
- medical data
- patient specific
- learning models
- monitoring system
- decision trees
- machine learning
- clinical data
- minimally invasive
- data analysis
- learning algorithm