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.