Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia The final, formatted version of the article will be published soon. Interpreting ...

gridium/ ├── lessons/ # Educational materials │ ├── 01_pydantic_introduction.md │ └── 02_pydantic_best_practices.md ├── examples/ # Runnable code examples │ ├── 01_pydantic_introduction.py │ └── ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

The ECG signals analysis is a frequently used approach for classification of cardiac patients. Traditionally, this analysis is made by expert doctors. However, recently, it is increasingly supported ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...

WaveformNet is a deep learning project for classifying electrocardiogram (ECG) signals into multiple arrhythmia types using convolutional neural networks. It features two separately trained models: a ...

CHICAGO — A new artificial intelligence (AI) model performed about as well as high-sensitivity troponin for the detection of non–ST-elevated myocardial infarction (NSTEMI) on an ECG, but better than ...