AMS Seminar: Eric Xing (Carnegie Mellon) @ Whitehead 304
Title: PetuumMed: algorithm and system for EHR-based medical decision-making
With the rapid growth of electronic health records (EHRs) and the advancement of machine learning technologies, needs for AI-enabled clinical decision-making support is emerging. In this talk, I will present some recent work toward these needs at Petuum Inc. where an integrative system that distills insights from large-scale and heterogeneous patient data, as well as learns and integrates medical knowledge from broader sources such as the literatures and domain experts, and empowers medical professionals to make accurate and efficient decisions within the clinical flow, is being built. I will discuss several aspects of practical clinical decision-support, such as real-time information extraction from clinical notes and images, diagnosis and treatment recommendation, automatic report generation and ICD code filling; and the algorithmic and computational challenges behind production-quality solution to these problems.