Noah  Rowe

Noah Rowe

1596905160

Designing a 3D Healthcare Network Graph

Introduction

Graph databases have been revolutionizing the world as we know it. In the past decade, they have proven their usefulness in tons of cases, from social media networks to fraud detection to recommendation engines. The true strength of graph databases is the ability to efficiently represent the relationshipsbetween pieces of information. This especially applies to data that is highly connected, like hospital records.

In this blog, I’ll be walking through an example of how we take healthcare data stored in a graph database and visually show a sample of that information in 3D. Because of the large number of connections, 2D network graphs can quickly become cluttered and unreadable; however, these issues can be handled by changing our perspective. In cases where the 2D option fails, 3D graphs provide an expansive view of the data that is much easier on the eyes.

Since the data is stored in a graph database, it only makes sense to visualize it with a graph. That way, all we have to do is translate the connections that already exist in the database into something visible.

With that background, let’s start making our 3D graph masterpiece!

The full code for this blog can be found on my Github.

Designing a Graph Database Schema

The graph database I used for this project was built on TigerGraph using synthetic patient data generated by a neat, open-source program called Synthea. If you are unfamiliar with Synthea, check out this short blog I wrote or have a look at their website.

If you’re interested in seeing the process I used to design this healthcare network, check out my last blog post.

Otherwise, feel free to design your own graph or use a premade one. TigerGraph has tons of tutorials and examples that can help you design your own graph. Optionally, you can reference an article I wrote that takes you through the general graph design process.

Everything I mention from this point on can be done with any graph.

#data-science #analytics #3d #graph #visualization #data analytic

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Buddha Community

Designing a 3D Healthcare Network Graph

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Noah  Rowe

Noah Rowe

1596905160

Designing a 3D Healthcare Network Graph

Introduction

Graph databases have been revolutionizing the world as we know it. In the past decade, they have proven their usefulness in tons of cases, from social media networks to fraud detection to recommendation engines. The true strength of graph databases is the ability to efficiently represent the relationshipsbetween pieces of information. This especially applies to data that is highly connected, like hospital records.

In this blog, I’ll be walking through an example of how we take healthcare data stored in a graph database and visually show a sample of that information in 3D. Because of the large number of connections, 2D network graphs can quickly become cluttered and unreadable; however, these issues can be handled by changing our perspective. In cases where the 2D option fails, 3D graphs provide an expansive view of the data that is much easier on the eyes.

Since the data is stored in a graph database, it only makes sense to visualize it with a graph. That way, all we have to do is translate the connections that already exist in the database into something visible.

With that background, let’s start making our 3D graph masterpiece!

The full code for this blog can be found on my Github.

Designing a Graph Database Schema

The graph database I used for this project was built on TigerGraph using synthetic patient data generated by a neat, open-source program called Synthea. If you are unfamiliar with Synthea, check out this short blog I wrote or have a look at their website.

If you’re interested in seeing the process I used to design this healthcare network, check out my last blog post.

Otherwise, feel free to design your own graph or use a premade one. TigerGraph has tons of tutorials and examples that can help you design your own graph. Optionally, you can reference an article I wrote that takes you through the general graph design process.

Everything I mention from this point on can be done with any graph.

#data-science #analytics #3d #graph #visualization #data analytic

Juned Ghanchi

1621315250

Designing Mobile Apps using the latest UI Design Principles

The mobile technology world is growing at the speed of light, and the apps have become an integral part of our daily life. We can now see an influx of technology with tools that can help create mobile apps. All of them are becoming more accessible and hence people are getting on their first app making journeys. Since the mobile app industry is getting bigger and better than ever, businesses from all corners of the world are trying to develop mobile apps for their operations and marketing. Designing a mobile app for businesses is the first step, though. Company owners are in charge of the basic look and feel of the designed product. With a brilliant mobile app design, one can establish a relationship between app and user very well.

Read Blog Here: https://www.indianappdevelopers.com/blog/designing-mobile-apps-using-latest-ui-design-principles/

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Alayna  Rippin

Alayna Rippin

1597622400

The Trending Healthcare App Features for 2020

The recent technological trend in the healthcare industry has brought a virtual doctor into many of our pockets. Be it a serious health condition or a need to track our fitness level, there are thousands of mHealth apps for most of the healthcare use cases.

In 2020, the health-tech industry offers many mHealth apps ranging from heart rate monitoring to nutrition and fitness apps. Undoubtedly, there will be variation in the app functionality according to the target market, customer base and the purpose.

Use-Case specific app features

There are thousands of healthcare mobile apps available in the market and depending on the use-cases, they will incorporate specific features that help them serve the purpose. Following are some of the most trending app features.

Digital Prescription and Reports

Almost every hospital or pharmacy-related healthcare app should have the functionality to handle digital prescriptions and reporting. Misplacing or losing medical prescriptions and reports is very common for the patients. It even becomes a hassle for the healthcare institutions or doctors to manage and access the patient files. This is where the digital prescription feature comes handy for both the patients and doctors.

This feature should also incorporate the functionality to download the reports and prescription information in a documented format. It allows the patients to manage their lifetime medical history in one place. This feature is very crucial to speed up the medical treatment process.

Wearable Connectivity

Wearables are the most trending discussion in the health tech space. Up until now, this feature is most commonly used by fitness tracking apps. But as the healthcare industry has now paced up the technology adoption, healthcare providers and medical practitioners have started to trust the wearable technologies to monitor their patient health continuously.

In 2020, wearables do not just mean some gadgets like Fitbits. There are many clinical-grade IoMT (Internet of Medical Things) devices used by the healthcare industry that are used in a form of belts, chest straps etc.

The wearable connectivity feature allows the healthcare apps to record the user’s data, which can be shared with the doctors. The doctors can provide a better consultancy if they have access to their patient’s all-time health status.

On-Demand Medicine

Similar to amazon for x apps, this on-demand app feature is focused on making the medicines accessible anytime, anywhere. Using this feature, the patients will be able to refill their stock of medicine without having to visit the pharmacy.

The feature would require the functionality to allow admin to list out the pharmacies in the locality, so that the users can order from the nearest one. To make this feature more effective, you also would need to add an online payment feature within the app.

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