A Neural Network Model Using Pain Score Patterns to Predict the Need for Outpatient Opioid Refills Following Ambulatory Surgery: Algorithm Development and Validation.
Rodney Allanigue GabrielSierra SimpsonWilliam ZhongBrittany Nicole BurtonSoraya MehdipourEngy Tadros SaidPublished in: JMIR perioperative medicine (2023)
Applying machine learning algorithms allows providers to better predict outcomes that require specialized health care resources such as transitional pain clinics. This model can aid as a clinical decision support for early identification of at-risk patients who may benefit from transitional pain clinic care perioperatively in ambulatory surgery.
Keyphrases
- chronic pain
- pain management
- machine learning
- neural network
- healthcare
- clinical decision support
- minimally invasive
- neuropathic pain
- blood pressure
- coronary artery bypass
- primary care
- palliative care
- deep learning
- electronic health record
- surgical site infection
- type diabetes
- quality improvement
- acute coronary syndrome
- coronary artery disease
- atrial fibrillation
- adipose tissue
- spinal cord injury
- social media
- metabolic syndrome
- skeletal muscle
- glycemic control