Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
-
Updated
Jan 3, 2024 - Jupyter Notebook
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
A comparative analysis of 4 ML algorithms. This Hypertension Risk Prediction Model can be described as a machine learning model designed to predict an individual's risk of developing hypertension based on various input parameters.
A free, open source, template for creating a very useful hypertension dashboard to support public health projects.
Feature extraction and analysis on audio clips taken from various online source like Netflix to detect the extent of hypertension in a person.
Simple task management app enhanced with home blood pressure (BP) tracking. Integrates features from Harvard Health: https://www.health.harvard.edu/heart-health/track-your-blood-pressure-at-home-the-right-way.
Add a description, image, and links to the hypertension-detection topic page so that developers can more easily learn about it.
To associate your repository with the hypertension-detection topic, visit your repo's landing page and select "manage topics."