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Modeling Healthcare Data with Graph Databases
WebGraph Databases! Graphs are perfect fo r storing and visualizing healthcare data models. They are designed to handle highly connected information, like patient records. If you are unfamiliar with graphs, check out this awesome article that introduces some of the basics of graph theory.
Actived: 8 days ago
URL: https://www.tigergraph.com/blog/modeling-healthcare-data-with-graph-databases/
Powering a New Class of Member-centric Analytics and Customer
WebTodd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 …
TigerGraph Joins Dell at HIMSS 2022 for Healthcare Analytics
WebTigerGraph Joins Dell at HIMSS 2022 for Healthcare Analytics Presentation. The HIMSS Global Health Conference & Exhibition is back in person this month in Orlando, FL. Running from March 14-18, HIMSS 2022 brings together healthcare professionals from around the world with the goal of “reimagining health and wellness for everyone, …
TigerGraph Healthcare White Paper
WebTigerGraph Healthcare White Paper. Graph database and analytics enable data scientists to understand, explore and analyze the complex relationships in healthcare data, often going 10 or more levels deep, in real-time, across billions of claims and millions of members and providers. This capability can have a profound impact on cost of patient
3D Network Graph Visualization with Healthcare Data
Webgraph.getToken(secret, setToken=True, lifetime=None) Next, run an installed query to grab data from the graph. selectAll = graph.runInstalledQuery("grab_All_3d_demo", sizeLimit=40000000) Here’s the query. It grabs all patients as well as all edges and vertices immediately connected to those patients.
Healthcare Round Table With Graph And Kafka
WebHighlights how event-streaming combined with Graph technology is a potent combination when solving member journeys, member churn, claims management, tracing and relationship insights and predictive outcomes. . - Identify and Intervene to reduce member churn by more than 10%. - Increase agility for health responses and new insights faster
Healthcare Provider Fraud Detection Analysis with AI
WebAn important tool in the fight against fraud is artificial intelligence. We can generate graph-based machine learning features for a low risk provider (“good doctor”) and a high risk provider (“bad doctor”) and use these features to train the artificial intelligence to look for these profiles within huge healthcare datasets.
High Availability Support for Application Server
WebTigerGraph supports native HA functionality for its application server, which serves the APIs for TigerGraph’s GUI - GraphStudio and Admin Portal. The application server follows the active-active architecture, and runs on the first three nodes in a cluster by default. Three is the maximum number of application servers per cluster.
Use of duplicate edge name
Web@Mingxi_Wu. Of course! Consider the following pseudo-code typical for application data models: interface Entity { String id; DateTime createdTime; DateTime updatedTime; } class User extends Entity { Set<Photo> photos; Set<Photo> taggedPhotos; Photo profilePhoto; Set<Video> videos; } class Photo extends Entity { User creator; …
Healthcare Use Cases for Machine Learning TigerGraph
WebIn March 2018, Kaiser Health News shared a YouTube video showing how a simple urine test was billed for $1,845 by an unscrupulous laboratory, which piled on unnecessary tests to pad the bill. Healthcare-related fraud is estimated at around 3-10% of the total cost and is rising, especially with the opioid epidemic affecting over 2 million Americans.
Interview with Million Dollar Challenge Grand Prize Winners
WebThe worldwide competition gave contestants the opportunity to win a share of $1 million in cash prizes. I had the chance to ask our $250,000 grand prize winners, Ashwin and Veena, some questions about their experience, their entry, and the future of their project, titled Mental Health Hero. Their solution is a graph-based approach built to
Cloud-Based Graph Database (SaaS) TigerGraph
WebTigerGraph Cloud, the industry’s first and only distributed native graph database-as-a-service, helps accelerate the ability of individuals and businesses to harness the power of graph. It is built for people who’d rather be building innovative applications that deliver new insights than managing hardware. TigerGraph Cloud’s elastic
Detect Waste, Abuse and Fraud with Graph Database & Analytics
WebUnfortunately waste, abuse and outright fraud are rampant in the healthcare industry. Healthcare-related fraud is estimated at around 3-10% of the total cost and is rising, especially with the opioid epidemic affecting over 2 million Americans. In 2017, the Boston Globe uncovered a massive network of brokers who specialize in enrolling …
TigerGraph Stands Against Coronavirus
WebOur free COVID-19 Analysis Starter Kit provides the government and health officials with a vital tool in the fight against the coronavirus. Our Starter Kit comes with a sample dataset, schema, and queries for big data analysis, giving you the ability to detect hubs of infection and track the movements of potential spreaders.This free instance can store billions of …
Category: Coronavirus Go Health
Docker Compose Integration Test with Gradle TigerGraph
WebAt the time of writing the latest version is 0.14.0. This plugin will run our TigerGraph Docker Compose script during our integration testing. plugins {. id "com.avast.gradle.docker-compose" version "0.14.0". } Now let’s create a verification task that will run the integration tests in our build.gradle.
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