1 Overview
Oracle Healthcare Translational Research Notebook (OHTR-Notebook) is an integrated advanced data science workbook available through the new Oracle JET-based Oracle Healthcare Translational Research application called Oracle Healthcare Translational Research - Next Gen (OHTR-NG). The Notebook feature leverages Data Studio technology and comes with built in use cases. It also provides the ability for specific users to create new notebooks. This application is a single page web application built with Oracle JET technology, powered by a REST service and a distributed interpreter backend on top of the open source software, Zeppelin. Notebook extends Zeppelin's existing interpreters such as Python, R, and Scala by being able to deploy any Zeppelin interpreter completely and individually from the main server. It gives the ability to layout the notebook in either Zeppelin or Jupyter format as well as providing additional user interface capabilities. One of the key features of Oracle Healthcare Translational Research-Notebook is the Parallel Graph AnalytiX (PGX) engine, which is a toolkit for graph analysis with support for advanced parallel and high performance graph algorithms. Oracle Healthcare Translational Research-Notebook embeds PGX to enable the creation of dynamic and advanced visualization.
Data scientists can use Oracle Healthcare Translational Research-Notebook not only to use the existing use cases but also to build new use cases by creating new notebooks for their end users. The end users of the Oracle Healthcare Translational Research application can also use Oracle Healthcare Translational Research-Notebook to explore existing pre-built use cases like Patients Like Mine and Patient Journey.Oracle Healthcare Translational Research-Notebook uses the Graph Analytics and Graph Query methods to analyze clinical data present in the CDM data model of Oracle Healthcare Foundation using various interpreters.
Oracle Healthcare Translational Research-Notebook uses interpreters such as PGX-Java, PGX-Algorithm, PGQL, Markdown, Python and Oracle R.
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