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The multifactorial etiology of congenital heart disease : insights from teratology, genetics, and exposomics / [edited by] Ramya Raghavan.

IGI Global InfoSci-Books Available online

View online
Format:
Book
Contributor:
Raghavan, Ramya, 1975- editor.
IGIEA
Language:
English
Subjects (All):
Congenital heart disease--Etiology.
Congenital heart disease.
Machine learning.
Environmental monitoring.
Risk assessment.
Environmental health.
Heart Defects, Congenital--etiology.
Environmental Health.
Environmental Monitoring.
Risk Assessment.
Risk Factors.
Machine Learning.
Medical Subjects:
Heart Defects, Congenital--etiology.
Environmental Health.
Environmental Monitoring.
Risk Assessment.
Risk Factors.
Machine Learning.
Physical Description:
1 online resource (18 PDFs (496 pages))
Place of Publication:
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global Scientific Publishing, [2026]
Contents:
Preface
Chapter 1. Developmental Origins of Heart and Congenital Heart Diseases (CHD): Environmental Risk Factors and Genomic Correlations
Chapter 2. Association of Gene Polymorphisms With Neonatal Anomalies and Tumor Risks in CHD Patients
Chapter 3. Risk of Congenital Heart Disease in Assisted Reproductive Pregnancies: Mechanisms, Evidence, and Clinical Implications
Chapter 4. The Paternal Link to Congenital Heart Disease: Phthalate Exposure Alters Sperm Gene Expression and Increases Offspring Cardiac Risk
Chapter 5. Integrating Exposomics with Genomics and Epigenomics: A Holistic Approach to Unraveling the Etiology of Congenital Heart Disease
Chapter 6. Polygenic and Oligogenic Risk in Congenital Heart Disease: A Systems View of Multifactorial Etiology
Chapter 7. MicroRNA-Mediated Regulatory Mechanisms in the Etiopathogenesis of Congenital Heart Disease
Chapter 8. Artificial Intelligence and Machine Learning Applications
Chapter 9. Signal Processing and Machine Learning Architectures for Real-Time Fetal Cardiac Teratogen Detection: An ECE-Driven Approach to Exposomic Monitoring
Chapter 10. AI-Driven Biosensor Networks for Real-Time Prenatal Monitoring and CHD Risk Assessment: A Systems Engineering Approach
Chapter 11. Congenital heart diseases (CHD) are a major cause of morbidity and mortality in children and involve abnormal development of heart chambers and valves, along with the origin, course, or structure of the vessels (aorta, pulmonary and...
Chapter 12. Integrating AI and Edge Computing in Congenital Heart Disease Management
Compilation of References
About the Contributors
Index.
Notes:
Includes bibliographic references and index.
Electronic reproduction. Hershey, Pa. Available via World Wide Web.
Description based on online resource; title from digital title page (viewed on November 13, 2025).
Other Format:
Print version:
ISBN:
9798337337371
Publisher Number:
90103108273
Access Restriction:
Restricted for use by site license.

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