Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
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Updated
Mar 25, 2017 - Python
Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
Running the MORE Platform on Docker
ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.
Code and accompanying documentation within this repository focuses on curation of intensive longitudinal data (ILD) from EMA questionnaires from both pre- and post- quit periods; other data collected during the conduct of the study are beyond the scope of this repository and accompanying documentation.
Simple examples and descriptions how to extend the More Platform
More-Tailored Keycloak
ostlog is a self-tracking tool that motivates individual care, health and well-being.
R package to assess and evaluate longitudinal mHealth sensor data.
👀 Drishti-EMR - openmrs-module-drishti
Web app for project 'Calma', an anxiety mhealth chat intervention for the covid-19 outbreak
A light-weight simulator used to illustrate the use of Delay Tolerant Networks as a supplement for Cloud Connectivity for Rural Remote Patient Monitoring.
👀 Drishti-Plan: Machine Learning module for Drishti framework
Starter code to work with the AAMOS-00 dataset, a mobile health asthma research dataset
An android based app for tracking your mental health
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