The Doctoral Consortium in conjunction with the AIME 2022 conference will provide an opportunity for PhD students to present their research plans or their preliminary work in an informal and supportive atmosphere. The PhD students will be able to discuss their plans, preliminary results (optional), and the specific problems they are encountering. They will get feedback and advice from the Academic Panel including a number of prominent academic researchers with substantial experience in the field who will actively give constructive feedback and advice and contribute to the discussions.
All conference registrants have access to the consortium.
Tuesday, June 14th, 2022
Session 1: NLP
| 11:00 - 11:30 | Tommaso Buonocore: From Textual Clinical Records to Disease Registries: Collecting Structured Clinical Observations with Transformers |
| 11:30 - 12:00 | Jaya Chaturvedi: Combining Empirical and Knowledge-based Methods for Clinical Modelling of Electronic Health Record Text |
| 12:00 - 12:30 | Mollie Hobensack: Improving Hospitalization Risk Prediction for Older Adults in Home Healthcare Using Social Determinants |
Session 2: Knowledge-based and XAI
| 14:00 - 14:30 | Ali Daowd: Enhancing Literature-Based Discovery with Knowledge Graph Completion and Distributional Semantics |
| 15:00 - 15:30 | Jaber Rad: An interactive external knowledge-based surrogate modelling approach to enhance the comprehensibility of black box medical outcome prediction models |
| 15:30 - 16:00 | Marta Malavolta: Assessment of motor and cognitive impairment in premature children |
