Join us as Ioakeim (Kimis) Perros, PhD Candidate at Georgia Tech, presents "Scalable Unsupervised Phenotyping using Tensor Factorization."

Originally purposed to streamline documentation of care,
electronic health records (EHRs) provide a massive amount of diverse and
readily available data that can be used to tackle important healthcare
problems. Clinical phenotyping is one of them, which refers to identifying
patient subgroups sharing common clinically-meaningful characteristics.
However, there are significant challenges in using EHR data to
computationally tackle this problem, related to algorithmic scalability,
model interpretability and the longitudinal nature of patient data. In this talk,
recent developments in the area of tensor factorization will be presented
which effectively tackle those challenges.

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Refreshments at 10:00am