Federated Learning for Clinical Event Classification Using Vital Signs Data

Federated Learning for Clinical Event Classification Using Vital Signs Data

Accurate and timely diagnosis is a pillar of effective healthcare. However, the challenge lies in gathering extensive training data while maintaining patient privacy. This study introduces a novel approach using federated learning (FL) and a cross-device multimodal model for clinical event classific...

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Bibliographic Details
Main Authors: Ruzaliev Rakhmiddin, KangYoon Lee
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Multimodal Technologies and Interaction
Subjects:
federated learning
clinical events
vital signs
classification
multimodal
Online Access:https://www.mdpi.com/2414-4088/7/7/67

Internet

https://www.mdpi.com/2414-4088/7/7/67

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