Risk markers by sex and age group for in-hospital mortality in patients with STEMI or NSTEMI: an approach based on machine learning.
Blanca VázquezGibran FuentesFabian GarciaGabriela BorrayoJuan ProhiasPublished in: CoRR (2021)
Keyphrases
- age groups
- high risk
- machine learning
- acute coronary syndrome
- risk factors
- intensive care unit
- patient data
- patient outcomes
- intensive care
- medical practice
- prognostic models
- health care
- clinical data
- statistical methods
- medical data
- intensive care units
- risk assessment
- risk management
- patient groups
- patient records
- medical doctors
- emergency department
- learning algorithm
- decision support system
- prostate cancer
- blood pressure
- medical knowledge
- significantly higher
- facial images
- cardiovascular disease
- chronic disease
- clinical trials
- early diagnosis
- primary school
- clinical practice
- intraoperative
- information systems