🔱 HTN planning in Ruby

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.

Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals

⚜️ 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 dashboard to support public health projects.

Deep learning approach for predicting a hypertensive population repository

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

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

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

Neural Network Algorithm for Hypertension Prediction

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

Classification of Patients with Abnormal Blood Pressure

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

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

Just a handout for discussing my approach to hypertension in medical inpatients

Association Between Gut Microbiota and Hypertension