MACHINE LEARNING AND BIOIMPEDANCE TO DRIVE CLINICAL DECISION-MAKING AT HOME: A PROPOSED MODEL TO PREDICT HEART FAILURE EXACERBATIONSAUTHORS

• Main Authors: Vamsi Maturi, BS (Author), Ankit Hanmandlu, MD (Author), Nidhish Lokesh, BS (Author), Swati Gupta, MD (Author), Tom Valikodath, MD (Author)
• Format: Book
• Published: Elsevier, 2023-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...