New article: Machine Learning to Support Visual Inspection of Data: A Clinical Application

New article: Machine Learning to Support Visual Inspection of Data: A Clinical Application

I love data analysis and graphing. I was trained separately on group statistics and single-case experimental design, but not trained on objective supplements for visual inspection of single-case designs. After much searching I finally found this novel approach (machine learning/artificial intelligence) that is being used in many other fields such as medicine (e.g., data-driven COVID-19 care at Johns Hopkins).

Full text: Controlled case series demonstrates how parents can be trained to treat paediatric feeding disorders at home

Full text: Controlled case series demonstrates how parents can be trained to treat paediatric feeding disorders at home

Author perspectives: “This is the most excited I have ever been about an article. I love the colourful pictures of real food the kids actually ate to show real life and easily relatable proof of the results…In the graphs, you can still see each kid’s individual results instead of being lumped into the group and how big the change was for each kid. This was three years of my own hands-on personal direct close hard work with each kid and family in their homes, rather than a large hospital with lots of teams and supervising staff. It is an entirely different special experience, especially seeing the huge impact on the families’ lives (seeing the kids eat with their siblings and family, at restaurants, at school)…”