Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.
Benjamin D WisselHansel M GreinerTracy A GlauserKatherine D Holland-BouleyFrancesco T ManganoDaniel SantelRobert FaistNanhua ZhangJohn P PestianRhonda D SzczesniakJudith W DexheimerPublished in: Epilepsia (2019)
An electronic health record-integrated NLP application can accurately assign surgical candidacy scores to patients in a clinical setting.
Keyphrases
- electronic health record
- machine learning
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- minimally invasive
- primary care
- clinical decision support
- prognostic factors
- peritoneal dialysis
- coronary artery bypass
- coronary artery disease
- deep learning
- adverse drug
- patient reported
- clinical evaluation