Identifying mortality risk factors amongst acute coronary syndrome patients admitted to Arabian Gulf hospitals using machine-learning methods.
Syed Asif RazaLukman ThalibJassim Al SuwaidiKadhim SulaimanWael AlmahmeedHaitham AminKhalid F. AlHabibPublished in: Expert Syst. J. Knowl. Eng. (2019)
Keyphrases
- risk factors
- intensive care unit
- high risk
- blood pressure
- acute coronary syndrome
- patient data
- diabetes mellitus
- intensive care
- clinical data
- cardiovascular disease
- statistical methods
- risk management
- risk assessment
- prognostic models
- training program
- medical practitioners
- statistical analysis
- decision support system
- long term
- medical data
- neural network
- patient groups
- data analysis
- real world
- data mining techniques
- medical diagnosis
- computer aided
- neurodegenerative diseases