08-13, 15:30–16:10 (Asia/Yerevan), 113W PAB
Early indication and detection of diseases, can provide patients with the chance of early intervention, better disease management, and efficient allocation of healthcare resources. The latest developments in machine learning provides a great opportunity to address this unmet need. In this lecture, we introduce modified BERT: A deep neural sequence transduction model designed for electronic health records (EHR). We will consider the application of this methodology to the task of classifying patients into cohorts reflecting different disease patterns.
Early indication and detection of diseases, can provide patients with the chance of early intervention, better disease management, and efficient allocation of healthcare resources. The latest developments in machine learning provides a great opportunity to address this unmet need. In this lecture, we introduce modified BERT: A deep neural sequence transduction model designed for electronic health records (EHR). We will consider the application of this methodology to the task of classifying patients into cohorts reflecting different disease patterns.
Previous knowledge expected
Machine Learning Engineer / Data Science Team Lead at Quantori end-to-end digital
IT service provider for the life science and healthcare industries.