Identifying at-risk patients for congenital heart disease using integrated predictive models and fuzzy clustering analysis: A cross-sectional study
Congenital heart disease (CHD) remains a significant global health concern, affecting approximately 1 % of newborns worldwide. While its accurate causes often remain elusive, a combination of genetic and environmental factors is implicated. In this cross-sectional study, we propose a comprehensive p...
Saved in:
| Main Authors: | Amirreza Salehi, Majid Khedmati |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-10-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402415640X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Preference Evaluation and Recommendation of Athletes for National Traditional Sports Training Using an Intelligent Method Based on Picture Fuzzy Knowledge
by: Xiaoyu Cao, et al.
Published: (2024-01-01) -
Electrocardiographic Changes in Pregnant Patients With Congenital Heart Disease
by: Maria A. Pabon, et al.
Published: (2025-01-01) -
On the involvement of the second heart field in congenital heart defects
by: Guijarro, Clara, et al.
Published: (2024-03-01) -
Determinants of life satisfaction in adolescents with congenital or acquired heart disease: a nationwide cross-sectional study
by: Mohamad El-Chouli, et al.
Published: (2024-11-01) -
Prevalence of congenital defects of heart and large vessels in adults
by: I.G. Lebid
Published: (2017-03-01)