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
- machine learning
- pain management
- neural network
- healthcare
- clinical decision support
- minimally invasive
- neuropathic pain
- blood pressure
- palliative care
- primary care
- coronary artery bypass
- deep learning
- artificial intelligence
- surgical site infection
- type diabetes
- big data
- social media
- electronic health record
- spinal cord injury
- atrial fibrillation
- glycemic control
- percutaneous coronary intervention
- insulin resistance