Dear All:
Ontology-based Deep Learning in EHR, Healthcare, and Others
Ontologies have been well used as formal specification of human knowledge in various domains. In this talk, Dr. Dejing Dou will first formally define ontology and explain its relationships with other research areas in AI, such as knowledge base, Semantic Web, and knowledge graph. Then Dr. Dou will show how to apply ontologies in deep learning, which has attracted tremendous enthusiasm in both academia and industry recently. The key breakthrough in deep learning was due to a series of improvements in artificial neural network, big data, and computational power. The design of deep learning models (i.e., representation learning) is flexible but also “flat” in certain scenarios. We argue that a hierarchical design of deep learning systems based on domain knowledge (e.g., ontologies) will gain some advantage in performance and help providing the explanation for the resulted models. Dr. Dou will introduce our current ontology-based deep learning (OBDL) framework and its applications in EHR, healthcare, and other domains. The research efforts of OBDL also contribute to the establishment of an NSF funded Center for Big Learning (CBL).
We would like to extend an invitation to all of you to join us on this exciting event.
| Workshop: | Ontology-based Deep Learning in EHR, Healthcare, and Others |
| Date: | 25 October 2019 (Friday) |
| Venue: | E12-G003 |
For enquiry, please contact Ms. Ana Sou at tel: 8822 9634 or email: ici.datasci@um.edu.mo.
Best Regards,
Centre for Data Science |