Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study.
Jung-Yeon ChoiSooyoung YooWongeun SongSeok KimHyun Young BaekJun Suh LeeYoo-Seok YoonSeonghae YoonHae-Young LeeKwang Ill KimPublished in: Journal of medical Internet research (2023)
The derived model shall assist clinicians and patients in understanding the individualized risks and benefits of surgery.
Keyphrases
- machine learning
- deep learning
- end stage renal disease
- ejection fraction
- minimally invasive
- newly diagnosed
- artificial intelligence
- cross sectional
- prognostic factors
- peritoneal dialysis
- physical activity
- patients undergoing
- palliative care
- big data
- coronary artery bypass
- coronary artery disease
- risk assessment
- acute coronary syndrome
- patient reported
- atrial fibrillation
- surgical site infection