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Informatics Seminar Series (GW/Webex)

  • Milken Institute School of Public Health, Conference Room 201 950 New Hampshire Avenue Northwest Washington, DC, 20052 United States (map)

Title: Clinical Outcome Prediction through Deep Learning

Presenter: Yijun Shao, PhD


Abstract: Accurately predicting clinical outcomes in advance can benefit both healthcare providers and patients, though it remains a challenging task. Artificial Intelligence (AI) has recently generated much excitement due to the breakthroughs made by Deep Neural Networks (DNNs) on many tasks such as image classification and speech recognition. Inspired by those developments, there has been great interest in applying DNNs to the biomedical domain. In this seminar, I will present a DNN-based predictive modeling approach applied to two clinical use cases. DNN models are usually considered as black boxes which would hinder their acceptance by clinicians. Therefore, we also developed a novel method for explaining the predictions of our DNN models.


Earlier Event: July 10
REDCap Training Session 101 (GW)
Later Event: July 11
REDCap Training Session 102 (GW)