Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation.
Arielle SelyaDrake AnshutzEmily GrieseTess L. WeberBenson HsuCheryl WardPublished in: BMC Medical Informatics Decis. Mak. (2021)
Keyphrases
- diabetic patients
- cardiovascular disease
- medical data
- primary care
- medical knowledge
- machine learning
- chronic disease
- electronic patient record
- health care
- medical records
- medical treatment
- medical experts
- diabetes mellitus
- medical domain
- clinical data
- blood glucose
- medical diagnosis
- medical practitioners
- patient records
- patient care
- medical doctors
- clinical decision support
- medical center
- therapy planning
- patient data
- patient groups
- health related
- heart disease
- medical staff
- medical practice
- medical information
- clinical decision making
- intensive care units
- intensive care
- critical care
- high risk
- ischemic stroke
- medical care
- medical decision making
- electronic health records
- discharge summaries
- medical diagnostic
- clinical information
- health information systems
- clinical decision support systems
- clinical practice
- early diagnosis
- health care providers
- disease diagnosis
- risk factors
- medical images
- diagnostic process
- blood pressure
- traumatic brain injury
- breast cancer patients
- clinical diagnosis
- traditional chinese medicine
- home care
- cancer treatment
- hospital information systems