manikagita / hid335 Goto Github PK
View Code? Open in Web Editor NEWThis project forked from bigdata-i523/hid335
Sean Shiverick
License: GNU General Public License v3.0
This project forked from bigdata-i523/hid335
Sean Shiverick
License: GNU General Public License v3.0
--- owner: hid: 335 name: Sean Shiverick firtsname: Sean lastname: Shiverick latitude: "32.840054 N" longitude: "-96.697841 W" city: Dallas, TX, U.S.A. url: https://github.com/bigdata-i523/hid335 paper1: author: - Sean M. Shiverick hid: - 335 title: > Big Data Analytics, Data Mining, and Public Health Informatics: Using Data Mining of Social Media to Track Epidemics abstract: > Data mining of internet search queries and social media for influenza related keywords has been used to track seasonal influenza and correlates highly with official reports of `infuenza-like-illness' (ILI). Efforts to monitor epidemics using big data analytics can provide early detection that supplements existing systems of disease surveillance. A review of the literature shows that data extracted from social media has applications for public health informatics. Prediction models based on social media work best in areas with a high degree of internet access. url: https://github.com/bigdata-i523/hid335/blob/master/paper1/ type: latex status: 10/25/17 100% chapter: Health paper2: review: Nov 6 2017 author: - Sean M. Shiverick chapter: Health hid: - 335 title: > Big Health Data from Wearable Electronic Sensors (WES) and the Treatment of Opioid Addiction abstract: > Wearable electronic sensors (WES) and mobile health applications can be used to collect vital health data to supplement traditional forms of treatment for opioid addiction and may be used to predict risk factors related to overdose death. url: https://github.com/bigdata-i523/hid335/blob/master/paper2/ type: latex status: 100% project: type: project author: - Sean Shiverick hid: - 335 title: > Using Machine Learning Classification of Opioid Addiction for Big Data Health Analytics abstract: > Classification of opioid addiction can identify important features relevant for predicting drug abuse and overdose death. Machine learning procedures were used on data from a large National Survey of Drug Use and Health (NSDUH-2015) to classify individuals for illicit opioid use according to demographic characteristics and mental health attributes (e.g., depression). Classification models of opioid addiction can be extended for big data health analytics to include high-dimensional datasets, data collected over previous years, or expanded to the larger population of patients taking prescription opioid medication. The results seek to raise awareness of risk factors related to opioid addiction among patients and medication prescribers, and help decrease the risk of opioid overdose death. url: https://github.com/bigdata-i523/sample-pid000/project/report.pdf dataset: > National Survey on Drug Use and Health (NSDUH) 2015 Substance Abuse and Mental Health Data Archive U.S. Department of Health and Human Services (HHS) https://www.datafiles.samhsa.gov/study-dataset/national-survey-drug-use-and-health-2015-nsduh-2015-ds0001-nid16894 size TBD analytics: Machine Learning application: Health Analytics chapter: Health keywords: Health Analytics, Machine Learning, Opioid Addiction, i523, hid335 status: 100%
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.