This project is implemented as a tool for viewing temperature data taken from a temperature sensor installed in Rasperry PI and located in a remote place where there is Internet, for example, in dacha.

Introduction

In healthcare, information accessibility can impact the outcome of a medical decision, or the success of a bundled payment initiative. To ensure that the right information is available at the right place and time, healthcare organizations typically have used HL7® interface engines to share data among clinical applications. But the demands on healthcare information technology are changing so rapidly that these simple engines are no longer sufficient.

Prediction of server configuration for entry

The platform server entry configuration prediction application connects to Iris in Java and uses its Integrated ML technology to analyze data such as hospital outpatient volume, number of services, number of messages, and message save time. It can predict the server configuration required for the hospital entry platform before the hospital integration platform enters, providing convenience for customers.

The Customer Churn Predictor application is a tool that demonstrates how to use IntegratedML to helps companies identify which customers are likely to leave in the near future and develop customer retention strategies. Benefits of the similar application include:

Lessons from Aviation

Introduction

If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver).

We're hosting our Deltanji and Serenji user group session tomorrow - there's still time to register, if you haven't already.

We'll be showcasing some advanced features of Deltanji and Serenji in VS Code with time for a discussion - so feel free to bring along any problems you need help solving or share your feedback on our tools. We'd love to hear your thoughts. If you're interested in our tools this is a great chance to hear what others have to say, as well as asking your own questions.

Date: Wednesday, November 3rd

Time: 11-12pm EDT / 3-4pm GMT.

Let us know you'll be attending on Eventbrite.

We hope to see you tomorrow, but if you're unable to make it you can email me at laurelj@georgejames.com and I can share a recording of the session.

In the ever-evolving landscape of data science and machine learning, having the right tools at your disposal can make all the difference. In this article, we want to shine a spotlight on two essential Python libraries that have become indispensable for data scientists and machine learning practitioners alike: Matplotlib and scikit-learn.

An introduction to virtual documents

Ensemble virtual documents enable your productions to work with large and complex documents with little overhead.

What is a virtual document?

A virtual document is a special kind of Ensemble message, for use with Electronic Data Interchange (EDI) messages and with XML documents.

How are virtual documents different from standard messages?

According Wikipedia a mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole. It is often created around a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added. Major ideas are connected directly to the central concept, and other ideas branch out from those major ideas.

Recently, the question came up while discussing the access to the data stored in IRIS from different languages with my students if it was possible to initiate the connection and get data from Cloud solution (InterSystems IRIS CloudSQL) from Microsoft Excel, not the other way around. Considering the many varied ways one can get data in Excel (import data from external sources, connecting to databases using ODBC drivers, using power queries and web queries etc.) the obvious choice was to try ODBC driver. The only task left was to try to connect to the database in the cloud using the ODBC driver.

Do you ever spend an age entering criteria in the message viewer page, trying to find a message just to realise you're in the wrong instance of IRIS?

Or get lost in a sea of message tabs struggling to spot that Visual Trace page your were JUST looking at?

Well, have you tried the IRIS WHIZ browser extension and its suite of tools designed to help you avoid such unpleasantness?

Idea sourced from InterSystems Ideas Portal

Previous Posts:

A recent question from @Vivian Lee reminded me of a rather ancient example.
It was the time when DeepSee's first version was released.
We got Bitmap Index.
And we got BitSlice Index: mapping a numeric value by its binary parts.
So my idea: Why not indexing strings by their characters?
The result of this idea was presented first in June 2008.
IKnow wasn't publicly available at that time.