Search Results for "disease"
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Showing 4 open source projects for "disease"
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This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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For minor company expenses, you might utilize a spend management solution or track everything in spreadsheets. For everything more, you'll need Precoro. We help companies achieve procurement excellence and budget efficiency by building transparent, predictable, automated spending workflows.
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Ct.js
Ct.js is a desktop game engine that makes learning programming fun
... documentation right while writing your code. ct.js is based on Pixi.js, works on WebGL and provides great performance in browsers and desktop environments. Modules add new powers, and when ct.js is not enough, you can add any JS code or library. A small stylized adventure with AI-powered sea battles, violent environment, and little puzzle sections. Join the voyage to save a colony from a deadly disease! -
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corona-cli
Track the Coronavirus disease (COVID-19) in the command line
Track the Coronavirus disease (COVID-19) in the command line. Worldwide for all countries, for one country, and the US States. Fast response time (< 100ms).Get worldwide Coronavirus disease (COVID-19) reporting. Active daily reporting of your country's COVID-19 statistics. Get US States data for Coronavirus disease reports across the US. Data includes country, cases, deaths, recovered, active, critical, per million. Charts plot statistics in the form of line charts both regular and logarithmic. -
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The NEDSS Base System (NBS) is a web-based integrated public health disease surveillance system sponsored by the Center for Disease Control and Prevention(CDC). It was developed to provide a NEDSS-standards based system for the secure, accurate, and efficient collection, transmission, and analysis of public health data. It also provides a platform upon which program-specific modules can be built to meet state and program area requirements. State health departments use the NBS...
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GenEpiO
The Genomic Epidemiology Ontology covers food-borne disease terms
Here we introduce a Genomic Epidemiology Ontology (GenEpiO) that covers vocabulary necessary to identify, document and research food-borne pathogens and associated outbreaks. We envision various subdomains including genomic laboratory testing, specimen and isolate metadata, and epidemiological case investigations. The project files are currently hosted at https://github.com/GenEpiO/genepio/ . Here we provide the genepio-consortium@lists.sourceforge.net listserve. Terms for these subdomains... -
Every customer interaction is vital to your business success and revenue growth. With Jiminny’s AI-powered conversation intelligence software, we take recording, capturing, and meticulous analysis of call recordings to the next level. Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not. Seamlessly support your biggest objectives across the entire business landscape with our innovative call tracking system.
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