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Events for August 14, 2018

  • PhD Defense- David C. Kale

    Tue, Aug 14, 2018 @ 10:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    University Calendar

    Title: Learning to Diagnose from Electronic Health Records Data
    Ph.D. Candidate: David C. Kale
    Date and Time: Tuesday, August 14, 2018 at 10:00 AM in GFS 108
    Committee: Greg Ver Steeg (Chair), Aram Galstyan, Gaurav Sukhatme, and Raghu Raghavendra


    With the widespread adoption of electronic health records (EHRs), US hospitals now digitally record millions of patient encounters each year. At the same time, we have seen high-profile successes by machine learning, including superhuman performance in complex games. These factors have driven speculation that similar breakthroughs in healthcare are just around the corner, but there are major obstacles to replicating these successes. In this talk, we will discuss solutions to some of these challenges in the context of learning to diagnose, which involves building software to recognize diseases based on the analysis of historical data rather than expert knowledge. Our central hypothesis is that we can build such systems while minimizing the burden of effort on clinical experts. We will present results from one of the first successful applications of recurrent neural networks to the classification of multivariate clinical time series. We will then show how to extend this framework to model non-random missing values and heterogeneous prediction tasks. Finally, we will describe a public benchmark for clinical prediction and multitask learning that addresses the crisis of reproducibility in clinical machine learning and lowers the barrier to entry for new researchers. We will also spotlight additional research that considers nearest neighbor approaches and weak supervision in the absence of ground truth labels. We conclude by considering the broader impact of information technology on healthcare and how machine learning can help fulfill the vision of a learning healthcare system.

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 108

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • MS Group Advisement Session - NEW and CONTINUING CS/INF Students

    Tue, Aug 14, 2018 @ 02:00 PM - 04:00 PM

    Thomas Lord Department of Computer Science

    Workshops & Infosessions

    This group advisement session is for NEW and CONTINUING graduate students in the Computer Science / Informatics Master's programs. All incoming Fall 2018 students are encouraged to attend at least one session. One-on-one time with advisors will be available toward the end of the group advisement session. Appointments are not required to attend this session.

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Graduate

    Contact: Ryan Rozan

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