Deep Learning for Healthcare: Opportunities, Innovations, and Challenges
Xiao, Cao (Danica)
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The massive generation and collection of digitized health data, e.g. electronic health records (EHRs), along with these notable, longstanding healthcare deficiencies including diagnostic errors and medication mistakes are calling for more advanced techniques to power health data for improving healthcare. Deep learning provides great potential in transforming diverse health analytics tasks. In this talk, we mainly explore the following ones: Accurate medical embedding across correlated and multimodal medical entities to facilitate disease diagnosis or adverse drug reaction detection. Personalized and safe medication recommendation under evolving health conditions. In my talk, I will present our recent works, and talk about how we take deep learning approaches to address these challenges. In addition, I will also discuss several open challenges for applying deep learning in healthcare applications.