Dr. Matthew Davis is a leading data scientist with deep expertise in applying machine learning methods to healthcare data. He has held positions such as a Lead Data Scientist for the Medical University of South Carolina as well as large health tech companies. He actively publishes research and presents at national conferences and resides in with his family in the Low Country.
Charleston Data Science Meetup
Bias in Machine Learning Applications
Understanding bias, auditing and quality control are key challenges for developing machine learning methods in healthcare. Models that have been trained on biased data, have the potential to automate decisions that are unfair and inequitable. This talk discusses strategies and methods for domain and outcome bias exploration to evaluate performance equitably across subgroups and whether the training data are representative of novel data expected in the model application.