Integrative approach for modern health risk modeling and predicting in patients through artificial intelligence method
This research suggests a modeling approach for health risk prediction that utilizes an ambient environment and Artificial Intelligence (AI). The proposed AI-based Health Risk Modeling and Predicting System (AI-HRMPS) included gathering medical records from chronic illness patients, including Electro...
Main Authors: | Ampavathi Anusha, Tamilselvi P., Kumar Lingamallu Raghu, Sethy Abhisek, Gogula Sreenivasulu, Sharath M.N., Vijayalakshmi K. |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01144.pdf |
Similar Items
-
Harnessing sensor fusion and AI for accurate accident detection and classification in the safety of smart cities
by: Ramakrishna Reddy K., et al.
Published: (2024-01-01) -
Optimized resource allocation in cloud computing for enhanced performance with modified particle swarm optimization
by: Gogula Sreenivasulu, et al.
Published: (2024-01-01) -
Heart health prediction and classification: An IoMT and AI collaborative model
by: Sundar R., et al.
Published: (2024-01-01) -
Effective integration of the internet of things and ensemble learning approaches for enhancing sudden topple recognition assisted by cloud computing technology
by: Reddy K. Ramakrishna, et al.
Published: (2024-01-01) -
Microsystem Advances through Integration with Artificial Intelligence
by: Hsieh-Fu Tsai, et al.
Published: (2023-04-01)