LiSDA @ ACM BCB 2021

I (Yuhan Du) attended the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) that was held online on Aug 1-4, 2021. I presented my poster entitled “Explaining Large-for-Gestational-Age Births: A Random Forest Classifier with a Novel Local Interpretation Method”, coauthored with Dr. Anthony R Rafferty, Prof. Fionnuala M McAuliffe and Dr. Catherine Mooney. In the poster, the authors proposed a novel local interpretation method for a random forest classifier based on feature occurrence frequency in trees that give the same prediction as the random forest classifier. The method shows promising results when applied to a random forest classifier for large-for-gestational-age births.

– Yuhan