Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling

It was concluded that the model is a good fit. Also, the latent variables, socioeconomic factors, and environmental factors of mothers during pregnancy have a significant effect in causing cyanotic while poor general health factor increases the risk of Acyanotic congenital heart disease.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-11-21
DOI
https://doi.org/10.1186/s12911-024-02774-y
Primary Topic
Congenital Heart Disease Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling

Haris Khurram, Muhammad Ahmed Shehzad, Muhammad Aslam, Sana Shahid
BMC Medical Informatics and Decision Making
Congenital Heart Disease Studies
article

Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling

Haris Khurram, Muhammad Ahmed Shehzad, Muhammad Aslam, Sana Shahid
article en

Abstract

It was concluded that the model is a good fit. Also, the latent variables, socioeconomic factors, and environmental factors of mothers during pregnancy have a significant effect in causing cyanotic while poor general health factor increases the risk of Acyanotic congenital heart disease.

BMC Medical Informatics and Decision MakingVol. 24(1)
Bahauddin Zakariya University (PK), Prince of Songkla University (TH), King Abdulaziz University (SA), National University of Computer and Emerging Sciences (PK), University of Faisalabad (PK)
Good health and well-being
Openalex Percentile: Top 68%
Congenital Heart Disease Studies
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