Advancements in Heart Disease Diagnosis: Harnessing Predictive Modeling Techniques for Cardiovascular Health Management
This research paper investigates predictive modeling techniques for heart disease diagnosis utilizing comprehensive cardiovascular health data. Leveraging a dataset sourced from the University of California, Irvine Machine Learning Repository, the research focuses on 1,236 patients' attributes,...
Saved in:
Main Authors: | Kanishk Bakshi (Author), Raj Kumar (Author), Harshit Setia (Author), S. Vinila Jinny (Author) |
---|---|
Format: | Book |
Published: |
Wiley,
2024-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The World Heart Observatory: Harnessing the Power of Data for Cardiovascular Health
by: Pablo Perel, et al.
Published: (2022) -
Advances in the Diagnosis and Management of Congenital Heart Disease in Children
by: P. Syamasundar Rao, et al.
Published: (2022) -
Recent Advances in the Diagnosis and Management of Congenital Heart Disease
by: P. Syamasundar Rao
Published: (2024) -
Advances in the Diagnosis and Management of Congenital Heart Disease in Children
by: P. Syamasundar Rao
Published: (2023) -
Accuracy of physical examination of cardiovascular system in the diagnosis of common congenital heart diseases in children
by: Manu Raj, et al.
Published: (2022)