Heart-disease-prediction-model

★ 21 Open GitHub ↗

Cardiovascular diseases incidence probability estimation model

Explore Similar Repositories

cardiovascular_heart_disease : cardiovascular_heart_disease
PPGFlowECG : PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
Heart-Sound-Segmentation : In this project, first task was to locate the sounds particular to a heart within the audio data and then segment the audio files on the basis of the two sounds. This segmentation is very helpful in detection of the Cardiovascular Diseases (CVDs).
Cardio-Monitor : Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).
Transfer_Knowledge_from_Language_to_ECG : [EACL 2023] Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
// repository documentation