Topic: "chronic-diseases"
AMPATH/ng2-amrs
Point of care system for AMPATH clinics
Language: TypeScript - Size: 28 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 14 - Forks: 99
MohamedAliHaoufa/Embedded-System-for-Chronic-Disease-Patient-Monitoring-using-IoT
This project aims to develop an embedded system that monitors chronic disease patients who need frequent medical check-ups.
Language: TeX - Size: 3.32 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 2
maciejb2k/chronlife
Social platform for people with chronic diseases
Language: Ruby - Size: 28.1 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0
caveman2025/The-Modern-Neanderthal-Sensitivity-Theory
Human survival post-LGM relied on adaptation, cooperation, and innovation. Neanderthal and Denisovan genes shaped immunity and metabolism, but uniform modern diets clash with these traits, fueling chronic disease. Embracing diversity can drive health and resilience.
Language: Python - Size: 400 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0
Echinops6718/HealthInfo
Information on Thriving with Long-COVID and Other Chronic Illness
Size: 642 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0
antorguez95/Personalized-AI-Based-Do-It-Yourself-Glucose-Prediction-tool
A Do-It-Yourself AI-based module for your personalized interstitial glucose 30-min prediction! Compatible with different OS through Dockerization. Your data, your personalized model, and the execution are performed locally, without sharing anything with anyone! This module has been validated with real CGM data collected from 29 people with T1D.
Language: Python - Size: 13.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
etetteh/bio-electra
BioMedical Language Processing with ELECTRA
Language: Python - Size: 2.64 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
ameniissaoui/JAVAFX
it's a JAVAFX desktop application about chronic diseases , where we manage three user roles : admin , doctor and patient . (ESPRIT School project)
Language: Java - Size: 195 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
CDCgov/walkingcalculatr
The walkingcalculatr package extracts walking metrics (such as number of walks, average walk duration etc.) from cellphone-based mobility data. No such data is provided in this repo. This repo only contains code to analyze data provided by users.
Size: 54.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
nicedoctor123/Gastritis-MIL-pathology
Deep learning for comprehensively assessing chronic gastritis from whole-slide images: a multicenter, retrospective cohort study
Language: Python - Size: 2.17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Tosin-Wale/CDI_Exploratory-Analysis
This repository contains an EDA dashboard and some key visualizations providing insights into the US Chronic Disease Indicator dataset and disease trends
Language: Jupyter Notebook - Size: 43 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
arushi2509/Food-Insecurity-and-Chronic-Condition-Analysis-using-Machine-Learning
Analysis of publicly available data to identify areas with food access challenges. Analyzing a link between food insecurity and prevalence of chronic conditions.
Language: HTML - Size: 25.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
philytxie/CalHacks9.0
Tealth provides actionable, accessible health insights for predicted long-term health risks, powered by ML.
Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
shivam-moray/Chronic-Disease-Control-Data-Analysis
Chronic Disease Control Data Analysis and Visualization
Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
Chizzaram/Disease-outbreak-analysis-in-Northern-Nigeria
Analysis of core Chronic Diseases in Northern Nigeria is a group project demo performed by trainees at GIZ sponsored Data Science training program by COVEN LABS. The Data was gotten from kaggle.com and was prepared by Emmanuel Odelanmi who was trying to predict Meningitis occurrence in individuals using Machine Learning. The project is to advice the Ministry of Health of the core fatal diseases in the Northern part of Nigeria, to show them how it has been tackled over the years and the results obtained on different occasions.
Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
