Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida.
Debarshi DattaSafiya George DalmidaLaurie MartinezDavid NewmanJavad HashemiTaghi M. KhoshgoftaarConnor ShortenCandice SareliPaula EckardtPublished in: Frontiers Digit. Health (2023)
Keyphrases
- machine learning
- intensive care
- intensive care unit
- patient outcomes
- clinical data
- acute myocardial infarction
- patient data
- medical data
- medical treatment
- early diagnosis
- clinical trials
- clinical information
- vital signs
- medical center
- medical care
- medical experts
- intensive care units
- patient groups
- blood pressure
- emergency department
- medical staff
- clinical setting
- medical doctors
- risk factors
- patient records
- traumatic brain injury
- therapy planning
- clinical studies
- health care providers
- critical care
- neurological disorders
- acute coronary syndrome
- medical devices
- cardiovascular disease
- patient care
- liver disease
- heart disease
- electronic health records
- real patient data
- heart rate
- early detection
- monitoring system
- spinal cord injury
- prognostic models
- medical knowledge
- cognitive impairment
- health care
- decision support system