Running CMS Risk Adjustment Models via API with SAS Analytics Pro (Viya) on Azure

In this third article, we will introduce an alternative approach that surfaces the CMS-HCC Risk Adjustment Model execution through SASPy integration to a Flask application. We will demonstrate how this integration allows a user to score an individual patient/member on-demand, using inputs to an interactive web form to execute the model score code, surfacing the resulting score to the user.

Running CMS Risk Adjustment Models via API with SAS Analytics Pro (Viya) on Azure was published on SAS Users.

Access for success: SAS Certification practice exams now offered for free

Here at SAS, we understand the importance of having access to cutting-edge professional resources. That’s why, for more than 40 years, we’ve provided individuals in programming, data management and analytics fields with low-cost and no-cost materials that promote success in their educational and professional journeys. And today, as the demand […]

Access for success: SAS Certification practice exams now offered for free was published on SAS Users.

ModelOps in practice: How to call SAS models from Microsoft Power BI, part 4

Just getting started with this series? Make sure to explore the earlier posts Part 1, Part 2 and Part 3. Up until now, you have seen how ModelOps can solve your biggest machine learning challenges and that SAS and Microsoft, together, can help you deploy, govern and monitor your models […]

ModelOps in practice: How to call SAS models from Microsoft Power BI, part 4 was published on SAS Users.

5 best practices for optimizing ModelOps with SAS® Model Manager and Azure Machine Learning, part 3

Just getting started with this series? Make sure to explore Part 1 and Part 2. There are different ways you can use these two tools to accelerate model building, deployment and monitoring. Figure 1 summarizes best practices for conducting ModelOps using SAS Model Manager and Azure Machine Learning. Best practice […]

5 best practices for optimizing ModelOps with SAS® Model Manager and Azure Machine Learning, part 3 was published on SAS Users.

Running CMS-HCC Risk Adjustment models with SAS Analytics Pro on Viya

The CMS-HCC Risk Adjustment models are used to reimburse Medicare Advantage plans based on the health status of the plans’ members. CMS-HCC Risk Adjustment is the practice of assigning a risk score based on demographics and diagnoses to an individual beneficiary of Medicare for the purpose of calculating an expected cost of care, relative to the average beneficiary. Accurate risk adjustment requires an accurate diagnostic profile of an individual on an annual basis, documenting diagnoses via submitted claims or within a provider’s medical record.

Running CMS-HCC Risk Adjustment models with SAS Analytics Pro on Viya was published on SAS Users.