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Knowledge Framework for Deep Learning: Congenital Heart Disease
The era of multiphase computing technology has outrageously increased the digital data emission. This has lead researchers and scientists around the...
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Bioengineering of Pediatric Cardiovascular Constructs: In Vitro Modeling of Congenital Heart Disease
Congenital heart disease (CHD) is the most common malformation at birth occurring in 1% of live births. This group of malformation is heterogenous...
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Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review
Artificial intelligence, including machine learning and deep learning, play an essential role in the medical industry for predicting various...
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Information System in Support of Health of Children with Congenital Heart Disease
This article presents the description of the web system developed for a foundation in the city of Tijuana, Baja California, Mexico, dedicated to the...
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An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients
The number of patient suffering from complex congenital heart diseases (CHDs) increases gradually each year. The perioperative parameters assessment...
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Methods of Treatment of Congenital Deformities of the Musculoskeletal System: Talipes Equinovarus
Talipes equinovarus, also called clubfoot, is characterized by plantar flexion, inward tilting of the heel (from the midline of the leg), and...
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Analysis of Axial Triradius to Detect Congenital Heart Diseases
This paper proposes an image processing based method to conduct a study on the relationship between the angle at axial triradius on palm image and...
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Cardiorespiratory Symptoms and Disease Among Firefighters
Firefighters’ exposure has been linked with cancer development. However, the direct link between cardiorespiratory illness development and...
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Novel organoid construction strategy for non-involuting congenital hemangioma for drug validation
BackgroundNon-involuting congenital hemangiomas (NICHs) are fully formed vascular tumors at birth with distinctive clinical, radiologic, and...
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Classification of Cardiovascular Disease Information System Using Machine Learning Approaches
Recent advancements in computational approaches have facilitated the storage and collection of medical data for accurate medical diagnosis. Various...
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Heart Disease Prediction Using Machine Learning Algorithms
Heart disease is synonymous with heart attacks and strokes. But, cardiovascular disease also includes maladies like coronary artery disease (CAD),...
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Heart Disease Prediction Using Logistic Regression Machine Learning Model
Heart disease is a significant global health issue responsible for millions of deaths annually. Modifiable risk factors such as high cholesterol,...
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Design and Analysis of Multifacility Splint for Children with Congenital Clubfoot Deformities
Congenital Talipes Equinovarus (CTEV) or commonly known as clubfoot is a type of deformity present at birth. This deformity involves the baby’s foot...
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Heart Disease Prediction Using Machine Learning Techniques: A Survey for Societal Care and Information
WHO reports states that nearly 1crore 20 lakhs deaths happens due to heart diseases. In past years heart disease or cardiovascular disease cause...
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Effective Heart Disease Prediction and Classification Using Intelligent System
Cardiovascular diseases are the most common cause of huge death rates with an aggregate of 33% according to the statistical report produced by World...
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A Simple Way to Predict Heart Disease Using AI
Early diagnosis of cardiovascular diseases in high-risk patients will help them make decisions about lifestyle changes and, in turn, minimise their...
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Effective Machine Learning-Based Heart Disease Prediction Model
One of the most serious health issues affecting people today is heart disease. Identifying cardiac disease can be challenging as several common risk...
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Heart Disease Risk Prediction Using Supervised Machine Learning Algorithms
Due to increase in population early diagnosis of chronic disease become a major problem in recent medical fields. Heart disease is one of the most...
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Heart Disease Prediction Using Modified Machine Learning Algorithm
Heart patient number is escalating day by day, and numerous individuals lost their precious lives each year due to sudden heart attack in all over...
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Methodology for Building a Medical Expert System for Disease Diagnosis
This paper proposes an algorithm for constructing expert systems (ES) in comparison with a physician's decision to determine epilepsy in children....