🔱 HTN planning in Ruby

Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals

🏥 AI-powered nutrition management app for medical conditions. Personalized meal plans via Gemini API, health tracking, and premium UI. Built with React Native & Expo. 🍽️📊

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.

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

⚜️ HTN planning with uncertainty in Ruby

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

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

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

Neural Network Algorithm for Hypertension Prediction

Classification of Patients with Abnormal Blood Pressure

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

CNChildBP (Chinese Child Blood Pressure) - 基于2017年中国儿童血压标准的R工具包，实现自动化数据清洗、批量查表及分级评价。

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.

New approach for masked hypertension detection

Retrospective HIV Cohort for Diabetes Research - Tanzania

Codestates AI Bootcamp 15th Project_2 Hypertension Prediction

Hypertension risk models developed using the HUNT Study data