Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study.
Sungjoo HanYong-Beom KimJae Hong NoDong Hoon SuhKidong KimSoyeon AhnPublished in: JMIR medical informatics (2023)
The use of the RETAIN model on nursing narratives predicted postoperative LOS effectively for patients who underwent ovarian cancer surgery. These findings suggest that accurate and interpretable deep learning information obtained shortly after surgery may accurately predict prolonged LOS.
Keyphrases
- healthcare
- deep learning
- end stage renal disease
- mental health
- patients undergoing
- ejection fraction
- minimally invasive
- chronic kidney disease
- quality improvement
- prognostic factors
- peritoneal dialysis
- working memory
- emergency department
- coronary artery bypass
- health information
- acute coronary syndrome
- coronary artery disease
- adverse drug
- atrial fibrillation
- percutaneous coronary intervention