Predicting Congenital Heart Disease Using Maternal Risk Factors: A Machine Learning Study from an Indian Tertiary Cardiac Care Centre

D. Hanumanth Rao Naidu

doi:10.32604/schd.2026.079590

January 1, 2026Structural and Congenital Heart DiseaseOpen Access

Predicting Congenital Heart Disease Using Maternal Risk Factors: A Machine Learning Study from an Indian Tertiary Cardiac Care Centre

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Key Points

The aim is to improve the prediction of congenital heart disease using maternal risk factors through machine learning techniques.
Utilized a machine learning approach to analyze maternal risk factors.
Drawn from data collected at a tertiary cardiac care center in India.
Focused on developing predictive models for congenital heart disease.
Machine learning models demonstrated significant predictive capability for congenital heart disease.
Key maternal risk factors were identified that enhance early diagnosis and intervention.
Models provided actionable insights for clinical practice in resource-constrained settings.

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Implication

Machine learning predicts congenital heart disease from maternal risk factors, suggesting improvement in diagnosis in low-resource settings.

Abstract

Background: Congenital Heart Disease (CHD) is an abnormality of the heart arising before birth. CHD diagnosis poses a critical challenge, particularly in resource-constrained settings where access to doctors and skilled radio... | Find, read and cite all the research you need on Tech Science Press

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D. Hanumanth Rao Naidu (2026) studied this question.

synapsesocial.com/papers/6a2cf701faef96ed7f058942 https://doi.org/10.32604/schd.2026.079590

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Predicting Congenital Heart Disease Using Maternal Risk Factors: A Machine Learning Study from an Indian Tertiary Cardiac Care Centre

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Predicting Congenital Heart Disease Using Maternal Risk Factors: A Machine Learning Study from an Indian Tertiary Cardiac Care Centre

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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