The repo is for the Heart Disease classification project using Transformer Encoders in PyTorch.

AF Classification from a short single lead ECG recording: the PhysioNet/Computing in Cardiology Challenge 2017

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Deep Residual Learning Model for ECG signal classification

Atrial Fibrillation Classification From a Short Single Lead ECG Signal using CNN

Atrial Fibrillation Classification via 1D-CNN and 2D-CNN

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Due to the widespread noise pollution in our cities, data sponsors Sunbird AI recognised a need to gather data on noise exposure, in order to produce an action plan and empower citizens to be vigilant in tracking and monitoring noise. The challenge is to train a noise classification model to classify noise into different categories.

PhysioNet 2017 Entry: AF Classification from a short single lead ECG recording

convolutional neural network for classification of ecg data into AF/non-AF

ML News Classification System for Afaan Oromoo. This project includes a powerful Afaan Oromoo text preprocessing pipeline, offering custom tools for enhancing NLP tasks beyond classification.

image-classification-with-different-neural-networks-AfsanaNadiaNova created by GitHub Classroom

A Two-Class Classifier on South African Heart Disease dataset using the Random Forest Classifier from scikit-learn. Includes a confusion matrix.

Can you use tourism survey data and ML to classify the range of expenditures a tourist spends in Tanzania?

Classification algorithm for Physionet's Challenge 2017, classifying ECG signals with 4 labels (Normal, AF, Noisy, Other) with Machine Learning Techniques

Atrial fibrillation classification from the ECG . Assignment for the WASP Course "Artificial Intelligence and Machine Learning"

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ECG-AF-Classification is a repository for Atrial Fibrillation (AF) classification using ECG signals. The project includes feature extraction code for preprocessing ECG data and a deep learning model built with TensorFlow/Keras for accurate AF detection.

In this challenge, I will take text which is in any of South Africa's 11 Official languages and identify which language the text is in

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AF Classification of short ECG lead recordings

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Atrial Fibrillation classification with Convolutional Neural Networks (CNNs)

AF Classification from a short single lead ECG Recording

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AF classification using PPG signals and 1D-CNN

A improved and unsupervised classification using DNN

Used MATLAB to apply Gaussian Bayesian Classifier for AF classification