Interesting Reads in Health Data Science and Health Disparities / Health Equity
Here’s a short list of a few data related posts and articles I found interesting since my last post:
1) Data Visualization is one of the most powerful skills to have as an Informaticist / Data Scientist / Data Analyst in Healthcare, and Power BI has several tools that are useful. In this LinkedIn article, Anh Leimer demos a useful Actual versus Target dashboard, in Power BI. Anh regularly shares tips for using PowerBI and is worth a follow if that’s your interest too. Her example in the article is using Sales data, but in a health disparities / equity context, the analysis could center around health education among people living with HIV and the use of PrEP, a prophylactic treatment used to prevent HIV Infection.
This is a PowerBI Image is from some of the preliminary work on my dissertation in Informatics. Here, I’m looking at HIV in Texas and viral suppression among people living with HIV.
2) As a person that uses KNIME a lot in my work, I’m looking forward to getting more in adept with using K-AI, KNIME’s AI feature. In this article, Angel Molina Laguna of KNIME illustrates how to use the K-AI Assistant for Data Analysis:
image shows a screen shot of my initial set up using Lung cancer data in a K-AI workflow
3) Food deserts are a significant contributor to food insecurity in many underserved communities and a known social determinant of health (SDoH). In this article, Wansoo Im of Meharry Medical College shares a Food Accessibility Interactive Map that his research group created to illustrate food and transportation resources in Nashville, Tennessee.