computational predictions

Deep Predictive Models for Mining Electronic Health Records

Fenglong Ma, Research Assistant, State University of New York at Buffalo, USA

Mar 26, 12:00 - 13:00

B1 L4 R4214

machine learning data mining healthcare computational predictions

There is an increasing growth in the amount of electronic health records (EHRs) being collected by healthcare facilities. Data mining techniques hold great potential to systematically use such data for identifying not only inefficiencies but also best practices that improve care and reduce costs. However, due to the complexity of EHR data, directly applying traditional machine learning techniques may yield unsatisfactory predictive performance. Recent advances in deep learning-based methods provide unprecedented ability to predict patients’ future health status, but they still suffer from the sparsity issue of EHR data.