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· May 13, 2021
Shout out to the Dev Community !

Hello All,

Just wanted to acknowledge the fact that this community has become a great resource for help. I have had many wonderful people helping me out with my questions in last couple of weeks. Thank you to all of you :)

Regards,

Utsavi

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In my previous article, Using LIKE with Variables and Patterns in SQL, we explored how the LIKE predicate behaves in different scenarios, from Embedded SQL to Dynamic SQL, and what happens to performance when wildcards and variables come into play. That piece was about getting comfortable writing a working LIKE query. But writing SQL that works is only the starting point. To build applications that are reliable, scalable, and secure, you need to understand the best practices that underpin all SQL, including queries that use LIKE.

This article takes the next step. We’ll look at a few key points to help strengthen your SQL code, avoid common pitfalls, and make sure your SELECT statements run not just correctly, but also efficiently and safely. I'll use SELECT statements with LIKE predicate as an example along the way, showing how these broader principles directly affect your queries and their results.

*This is what Gemini came up with for this article, kinda cute.

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Hi fellow developers!

Curious if you guys use CreatedAt and LastUpdated properties in your classes?

Created to stamp when the record was created and LastUpdated when it was last updated. Where it can be useful - almost everywhere )) I find it convenient in records sorting (e.g. by creation or last update), in sync (with other systems), and so on, for better analytics.

Do you use it all the time for all the classes?

If don't, why not? What do you use instead?

What property type do you use - %TimeStamp? %DateTime?

What is the best practice to have CreatedAt filled automatically during creation and LastUpdated on every successful save (guess it could be in %OnSave)?

Please share your experience /thoughts?

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Article
· Jan 28, 2024 3m read
Fhir-HepatitisC-Predict

Processing FHIR resources with FHIR SQL BUILDER to predict the probability of developing hepatitis C disease

With the development of technology, the medical industry is also constantly advancing, and humans often pay more attention to their own health,
By learning and processing datasets through computers, diseases can be predicted.

Pre condition: Ability to use FHIR and ML
Firstly, our dataset is obtained from kaggle and transformed into FHIR resources based on patient gender, age, ALP or ALT, and imported into the FHIR resource repository

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If you hold the InterSystems HL7 Interface Specialist certification, you can potentially get recertified and have your certification expiration date extended by five years by beta testing our new InterSystems HL7 Interface Specialist Recertification project. The project includes hands-on exercises to validate core skills for developers who use InterSystems products to build and test HL7 v2.x productions.

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With rapid evolution of Generative AI, to embrace it and help us improve productivity is a must. Let's discuss and embrace the ideas of how we can leverage Generative AI to improve our routine work.

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Hi Community,

If you wish to share with others your solution/tool and/or your company services which are connected to our products, we will be happy to organize a webinar for you to promote it. We will organize your webinar without any fuss on your side, you just need to tell us what you want to talk about and when you want to do it.

From its side, InterSystems team will:

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Hey Developers,

Watch this video to learn how to use InterSystems IRIS Cloud IntegratedML:

InterSystems IRIS Cloud IntegratedML @ Global Summit 2022

https://www.youtube.com/embed/Q_FysO-_SJE
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Hey Developers,

New video is already on InterSystems Developers YouTube channel:

What is the InterSystems IRIS FHIR Server

https://www.youtube.com/embed/2FC_yIC9VCY
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Hi Community,

Please welcome the new video on InterSystems Developers YouTube:

FHIR Overview @ Virtual Summit 2020

https://www.youtube.com/embed/KBrvJvJLIXA
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Dear Global Masters participants!

This is the moment you can share with us your honest thoughts about Global Masters. What do you like about it? What you'd like to change?

Last year we created a roadmap based on your responses and successfully introduced new gamification system to make higher levels more achievable, new rewards, and new types of challenges. Time to make your wishes for 2021, because this program is FOR you!

Please spend 5 min and answer 11 questions about Global Masters. We guarantee that we carefully consider every single comment.

➡️ Global Masters Survey 2020 (5 min)

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I am hoping I explain this correctly.

We are using a query expire edge, to pass an API request to one of our vendor systems.

There is no feed into the gateway from an external system, and it is only used to query the external system with member data.

However, it is our understanding that the member needs to be registered on the edge.

Wondering if there is a way to export from the registry the bare demographic info in SDA to import to the new edge?

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Hi Community,

New session recording from Global Summit 2019 is available on InterSystems Developers YouTube Channel:

The Data Management and Analytics Landscape

https://www.youtube.com/embed/wuuCQ6erMFs
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I'm new to Cache and trying to follow the Using Cache Studio PDF. In section 2.4.3(Adding a Zen form) it tells you insert the following code;

<button caption="Save" o select="zenPage.saveRecord();" />

Unfortunately that code fails compilation. If you try and use the tools there is no o select option nor a select or onselect option. I was wondering if anyone has used this PDF before and knows what the correct attribute should be?

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You may have missed the news that support for older version of Internet Explorer ends next week Tuesday, January 12th. The original blog post from Microsoft can be found here:

https://www.microsoft.com/en-us/WindowsForBusiness/End-of-IE-support

A patch will go live next week Tuesday, that will nag users of older IE versions to upgrade to a recent version. The patch is identified as KB3123303. You can find more information about this patch here:

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Comprehensive patient view, communication and data sharing, and population health management are key components

Federal agencies have been incenting healthcare providers to leverage their electronic health records (EHRs) to get patients involved in the management of their care. Most organizations, however, haven’t moved beyond patient engagement as an item to be checked off in order to receive meaningful use incentive funding.

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RabbitMQ is a message broker that allows producers (those who send a data message) and consumers (those who receive a data message) to establish asynchronous, real-time, and high-performance massive data flows. RabbitMQ supports AMQP (Advanced Message Queuing Protocol), an open standard application layer protocol.
The main reasons to employ RabbitMQ include the following:

  • You can improve the performance of the applications using an asynchronous approach.
  • It lets you decouple and reduce dependencies between services, microservices, and applications with the help of a data message mediator, meaning that there is no need for producers and consumers of exchanged data to know each other.
  • It allows the long-running processing of sent data (with the results) to be delivered after utilizing a response queue.
  • It helps you migrate from monolithic to microservices, where microservices exchange data via Rabbit in a decoupled and asynchronous way.
  • It offers reliability and resilience by making it possible for messages to be stored and forwarded. A message can be delivered multiple times until it is processed.
  • Message queueing is the key to scaling your application. As the workload increases, you will only have to add more workers to handle the queues faster.
  • It works well with data streaming applications.
  • It is beneficial for IoT applications.
  • It is a must for Bots’ communication.

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I implemented a Python Flask application for the 2024 Python Contest with a page that provides common form fields for an outgoing email such as the To and CC fields. And it lets you input a message as well as uploading text based attachments.

Then using LlamaIndex in Python, the app analyzes the content you put in and returns to you in a result box if there is anything that should stop you from sending that email.

Take a look at the Github repo here.

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Hi all,

Some days ago, I've seen a youtuber talking about how to create a neural network (sorry, is in spanish)

https://www.youtube.com/embed/iX_on3VxZzk
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Hello everyone,

I just want to know if there is a difference in performance between using Class methods versus MAC routines?

For example:

do Method^MyFunction()

versus

do ##class(MyFunction).Method()

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Using the below python script I am getting :

$ ./hello_world.py
Traceback (most recent call last):
File "/home/wwillett/dev/vscode-objectscript/Samples-python-helloworld/./hello_world.py", line 34, in <module>
run()
File "/home/wwillett/dev/vscode-objectscript/Samples-python-helloworld/./hello_world.py", line 21, in run
connection = irisnative.createConnection(ip, port, namespace, username, password)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: * [ERROR_SEQUENCE_ERROR]

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