MACHINE LEARNING AND BIOIMPEDANCE TO DRIVE CLINICAL DECISION-MAKING AT HOME: A PROPOSED MODEL TO PREDICT HEART FAILURE EXACERBATIONSAUTHORS
Therapeutic Area: Heart Failure Background: Heart failure (HF) exacerbations lead to an estimated 1 million congestive heart failure (CHF)-related admissions annually, costing between $11-15,667 with a hospital stay of 7-21 days. The etiology is multifactorial, but regular monitoring is essential fo...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Book |
| Published: |
Elsevier,
2023-09-01T00:00:00Z.
|
| Subjects: | |
| Online Access: | Connect to this object online. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|