hypertension

🔱 HTN planning in Ruby

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.

⚜️ HTN planning with uncertainty in Ruby

This project aims to develop an embedded system that monitors chronic disease patients who need frequent medical check-ups.

A free, open source, template for creating a very useful hypertension dasard to support public health projects.

Deep learning approach for predicting a hypertensive population repository

An Excel speadsheet for efficiently keeping a record of up to four glucose, blood pressure, and pulse readings a day.

Spirit is a web application that was built with the intent to help people who are suffering from stress

Neural Network Algorithm for Hypertension Prediction

[SPSS] The study on the factors of High Blood Pressure in population over 65 years old.

Classification of Patients with Abnormal Blood Pressure

Analyze the association between hypertension, BMI, triglycerides, and variant rs174548 using logistic regression and linear regression.

This is a web-based expert system that uses the Naive Bayes classification method. The system is built using the Flask framework and is designed to automate the learning process based on datasets uploaded by the user.

Retrospective HIV Cohort for Diabetes Research - Tanzania

Codestates AI Bootcamp 15th Project_2 Hypertension Prediction

New approach for masked hypertension detection

Hypertension risk models developed using the HUNT Study data

This project utilizes the spectograms generated from the ECG data of the patients to detemine the level of hypertension suffered by the person.

Serena is an interactive dasard designed to integrate many R-packages to visualize biological data.