From data to diagnosis: leveraging deep learning in IoT-based healthcare
In the evolving landscape of healthcare, the integration of deep learning within the Internet of Things (IoT) presents transformative potentials for medical diagnostics and patient care. This article explores the advanced architectures of deep learning and their application in healthcare...
Saved in:
Main Authors: | Miracle A. Atianashie, Chukwuma Chinaza Adaobi |
---|---|
Format: | Article |
Language: | English |
Published: |
Academia.edu Journals
2024-11-01
|
Series: | Academia Medicine |
Online Access: | https://www.academia.edu/125450840/From_Data_to_Diagnosis_Leveraging_Deep_Learning_Architectures_in_Healthcare_IoT |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Decentralized identifiers based IoT data trusted collection
by: Baitao Zhang, et al.
Published: (2025-02-01) -
Cloud-edge hybrid deep learning framework for scalable IoT resource optimization
by: Umesh Kumar Lilhore, et al.
Published: (2025-02-01) -
An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data
by: Arjun Kumar Bose Arnob, et al.
Published: (2025-02-01) -
Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities
by: Munya A. Arasi, et al.
Published: (2025-02-01) -
Desain Arsitektur IoT untuk Budidaya Gurami
by: Yupit Sudianto
Published: (2021-02-01)