Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study
BackgroundUnder- or late identification of pulmonary embolism (PE)-a thrombosis of 1 or more pulmonary arteries that seriously threatens patients' lives-is a major challenge confronting modern medicine. ObjectiveWe aimed to establish accurate and informative machine learning (ML) models to iden...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Book |
| Published: |
JMIR Publications,
2024-07-01T00:00:00Z.
|
| Subjects: | |
| Online Access: | Connect to this object online. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|