A novel 6-metabolite signature for prediction of clinical outcomes in type 2 diabetic patients undergoing percutaneous coronary intervention
Background: Outcome prediction tools for patients with type 2 diabetes mellitus (T2DM) undergoing percutaneous coronary intervention (PCI) are lacking. Here, we developed a machine learning-based metabolite classifier for predicting 1-year major adverse cardiovascular events (MACEs) after PCI among...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd
2022
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher |