Researchers developed an AI-powered ECG model, EchoNext, that detects structural heart disease with high accuracy across ...

This study tackles the ECG classification problem by means of a methodology, which is able to enhance classification performance while simultaneously reducing the computational resources, making it ...

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Feature extraction is the process of transforming raw data into features that are more relevant for machine learning algorithms. The goal of feature extraction is to find a set of features that can be ...

MDFS is a library to assist in MultiDimensional Feature Selection (MDFS), i.e. feature selection that accounts for multidimensional interactions in the dataset. To learn more about MDFS, please visit ...

The KNN and SVM classifiers are built based on the optimal feature subsets detected by these feature selection algorithms, respectively.

Keywords: feature extraction, variational autoencoder, ECG, electrocardiography, deep learning, explainable AI Citation: Kuznetsov VV, Moskalenko VA, Gribanov DV and Zolotykh NY (2021) Interpretable ...