ML and Epidemiology with Elaine Nsoesie - #396
Analysis
This article summarizes a podcast episode from Practical AI featuring Elaine Nsoesie, an assistant professor at Boston University. The discussion centers on the application of machine learning in global health, specifically focusing on infectious disease surveillance and analyzing search data to understand health behaviors in African countries. The conversation also touches upon COVID-19 epidemiology, emphasizing the importance of considering the disease's impact across different racial and economic demographics. The article highlights the intersection of AI and public health, showcasing how machine learning can be utilized to address critical global health challenges.
Key Takeaways
- •Machine learning is being applied to address global health issues.
- •The article highlights the use of ML in infectious disease surveillance.
- •The discussion includes the impact of COVID-19 across different demographics.
“We discuss the different ways that machine learning applications can be used to address global health issues, including infectious disease surveillance, and tracking search data for changes in health behavior in African countries.”