The Data Science Experience

 

Come explore real examples of innovation in action as applied analytics and
AI brought to you by the people making it happen by topic, and now by industry.

Each “Monthly spotlight” provides a different perspective on how
SAS Viya makes it possible.

Data Scientists in Health Care

Every aspect of the vital health industry has taken on special importance in a global pandemic. We are so pleased to feature examples of the big impact that a data scientist can have when given the freedom to innovate, as explained in these cases from the Cleveland Clinic, the COPD Foundation and at Mercy.

Mike Bromley
 
Michael Bromley is a Data Scientist at the Cleveland Clinic that works with machine learning and analytics to inform the hospitals’ decision making and help point the organization towards a more analytically mature future. Michael has contributed to the deployment of numerous tools and projection models and has presented his work at numerous industry conferences.

Danielle Boyce
 
Danielle Boyce is the COPD Foundation’s Senior Research Data Analyst, with 25 years of experience in the data science field, including more than a decade as a data analyst at Johns Hopkins School of Medicine. She is the author of dozens of peer-reviewed journal articles and has significant regulatory and industry consulting experience.

John Urwin
 
John Urwin is a Data Scientist who works on a variety of projects to help the Cleveland Clinic apply analytics and machine learning to decision making. With a background in Economics and Finance, he has played a key role in helping the organization understand realized revenue from payers and patients, patient risk, and forecasts of key metrics.

Chelsea West
 
Chelsea West is a Senior Data Scientist on the Enterprise Data Science team at Mercy, where she provides data driven analytical insight to clinical operations, perioperative and nursing leadership to help improve operational efficiencies and patient outcomes. Chelsea also serves on several regional COVID-19 industry initiatives.

Health Care innovation in action

Using NLP to improve communications and service
 
Danielle Boyce, COPD Foundation

Optimizing medical resources in the face of COVID-19
 
Michael Bromley, Cleveland Clinic

Predicting admissions likelihood from emergency department
 
Chelsea West, Mercy

Machine Learning in Health Care
 
 
John Urwin, Cleveland Clinic

For Practitioners
  

For Young Professionals

Practitioners

Drive Analytic Innovation Through SAS and Open Source Integration
 
 
 

Download ebook now

Transforming Health Outcomes Through Analytics – predictive health insights that improve patient outcomes
 

What’s the New Normal in Health Care?
 
 

Young Professionals

Study: Computer aided diagnosis system for breast ultrasound images using deep learning
 

SAS Tutorial: How to choose a Machine Learning Algorithm
 

SAS Tutorial: How 3 Lines of Code Can Connect SAS to Python
 

Empowering Open Integration with SAS Viya series

The benefits of using multiple analytical technologies for model building, model management and model deployment.

In this series, data scientists, model engineers and IT-experts will be talking about how Viya, the AI, Analytics and Data Management platform by SAS, enables everyone to collaborate, scale and operationalize all types of open-source analytics everywhere. Marinela Profi Data & Analytics Specialist SAS

Marinela Profi, Data & Analytics Specialist at SAS explains why it is important to empower open integration.

WATCH WELCOME VIDEO (5:50 min)

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What’s going on in the Data Science Experience community?

SAS Hackathon regional winners

Congratulations to our regional winners.

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SAS® GLOBAL FORUM 2021

SAS Global Forum always brings together the most curious minds in analytics – and this year was no exception. Were you able to join all the energizing and inspiring sessions? If not, great news! You can join us on demand. What are you waiting for? Get started watching – on demand availability ends June 25.

Missed a previous data science topic?

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SAS repositories on GitHub provide code examples and libraries to collaborate.


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