GraphConnect 2018 Agenda: Everything You Need to Know
By Rachel Howard
September 14, 2018|
Reading time: 1 minute
You already know there are many exciting reasons you should attend GraphConnect 2018 – and, of course, we’ve got you properly jazzed on this year’s roster of must-see presenters (including our two most recently announced keynote presenters). But the best… Read more →
Keywords: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin
By Michael Hunger, Developer Relations
September 29, 2017|
Reading time: 8 minutes
Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… Read more →
Keywords: Bioinformatics • computational biology • cypher • drug development • Healthcare • intermine • Knowledge Graph • Life Sciences • network biology • systems biology
My Neo4j Summer Road Trip to the World of Healthcare [Part 4]
By Bryce Merkl Sasaki
September 7, 2016|
Reading time: 10 minutes
Part 4: Create Relationships with FuzzyWuzzy Welcome back to my adventure to the world of healthcare! In the past three blog posts, I have discussed the data model of the healthcare graph, loading XML data into Neo4j and cleaning CSV… Read more →
Keywords: cypher • FuzzyWuzzy • graph database • graph technology • Healthcare • neo4j • python • RxNorm • string matching • string processing
My Neo4j Summer Road Trip to the World of Healthcare [Part 3]
By Bryce Merkl Sasaki
August 8, 2016|
Reading time: 6 minutes
Part 3: Cleaning CSV Files in Bash Hi friends and welcome back to my summer road trip through the world of healthcare. For those who are new to my adventure, this is the third part of the blog series. Catch… Read more →
Keywords: bash • CSV files • data modeling • etl • graph database • Healthcare • Load CSV • National Provider Identifier • NPI • python
Introducing the Neo4j Ambassador Program
By Bryce Merkl Sasaki
July 26, 2016|
Reading time: 2 minutes
Potentially the best thing about working on the Neo4j team is getting to experience the passion and excitement of our remarkable community. Don’t get me wrong – sitting in the park with Emil and his adorable one-year-old daughter during a… Read more →
Keywords: banking • finance • graph database • graph technology • graphconnect • Healthcare • it • neo4j • Neo4j Community • stack overflow
My Neo4j Summer Road Trip to the World of Healthcare [Part 2]
By Bryce Merkl Sasaki
July 25, 2016|
Reading time: 10 minutes
Part 2: Visualize XML Files in Neo4j with APOC Welcome back to my Neo4j summer adventure. In my previous post, I gathered all the available data and explored how to model the data into a healthcare graph. Starting with this… Read more →
Keywords: APOC • cypher • gun control • Healthcare • lobbying contributions • lobbying disclosures • Medicaid • Medicare • python • XML
My Neo4j Summer Road Trip to the World of Healthcare [Part 1]
By Bryce Merkl Sasaki
July 4, 2016|
Reading time: 6 minutes
Nothing excites me more than getting on an adventurous road trip to explore the unknown. What’s even better is this adventure doesn’t involve getting sweaty and exhausted to drive long hours in the middle of nowhere. Yes, I’m talking about… Read more →
Keywords: cypher • drug manufacturer • etl • FDA • Graph Databases • Healthcare • lobbying disclosures • Medicare • neo4j • prescription drug abuse
Navigating the Complexity of Heart Failure Research with Neo4j [Community Post]
By Neo4j Community
July 21, 2015|
Reading time: 5 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Life sciences deal with complex, dynamic systems composed of interconnected elements driving health and disease (e.g.… Read more →
Keywords: Big Data • Bioinformatics • data analysis • data science • graph database • Healthcare • heart failure • life science • neo4j • Network Analysis
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