hypertension

🔱 HTN planning in Ruby

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

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.

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.

⚜️ HTN planning with uncertainty in Ruby

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

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

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

Neural Network Algorithm for Hypertension Prediction

Classification of Patients with Abnormal Blood Pressure

Interactive web UI and enhanced analytics platform for the Computational Patient (Barbiero & Liò, 2020). Enhanced Edition by Prof. Dr. Utku Köse (2026).

Flask + scikit-learn app that predicts hypertension stage from patient data, with a full Docker/CI-CD pipeline to Render.

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。

营养学 | 高血压食养助手 (Hypertension Dietary Guide) — 基于国家卫健委《成人高血压食养指南（2023年版）》AI科普对话Skill · 使用WorkBuddy构建

Repository for simulation files and input/output files used in the hypertension treatment coverage and adherence study.

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.