A Machine Learning Framework for Assessing the Risk of Venous Thromboembolism in Patients Undergoing Hip or Knee Replacement.
Elham Rasouli DezfouliDursun DelenHuimin ZhaoBehrooz DavazdahemamiPublished in: J. Heal. Informatics Res. (2022)
Keyphrases
- high risk
- acute coronary syndrome
- risk management
- risk factors
- computer assisted
- patient data
- risk assessment
- clinical data
- blood pressure
- chronic disease
- medical practitioners
- cardiovascular disease
- diabetes mellitus
- lower extremity
- normal subjects
- risk measures
- early diagnosis
- medical data
- neurological disorders
- bone marrow
- visual field
- physiological parameters
- information systems
- early warning
- clinical trials
- computer aided
- decision making