AMIA_NLP_PS21: AMIA NLP WG Symposium Hilton San Diego Bayfront San Diego, CA, United States, October 30, 2021 |
Submission link | https://easychair.org/conferences/?conf=amia-nlp-ps21 |
Abstract registration deadline | October 11, 2021 |
Submission deadline | October 11, 2021 |
AMIA Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium, NLP Contributions to the COVID-19 Pandemic Response, NLP (AI) Ethics, Extracting Clinical Factors for Chronic Diseases
Collaborative workshop, October 30, 2021, from 8:30 AM to 4:30 PM.
The pre-symposium will feature four sessions:
Session 1 (Interactive) – Graduate student consortium and poster session (120 minutes) Chair Hongfang Liu
The purpose of the graduate student consortium is to provide opportunities for direct interactions between students and researchers in the biomedical and clinical NLP field, so that students can 1) refine their research focus; 2) discuss specific questions about study design, algorithm development, or evaluation plan; 3) receive constructive feedback and suggestions about their dissertation work; and 4) establish possible collaborations. Informal feedback from students at previous years’ doctoral consortia was very positive.
Graduate students are invited to submit up to 4-page abstract for a podium presentation of their graduate research work in the biomedical and clinical NLP fields. The selected students will each have 15 minutes for presentation and 15 minutes for discussion with a panel of established experts and researchers in biomedical and clinical NLP.
Abstract submission site: https://easychair.org/conferences/?conf=amia-nlp-ps21.
Sessions 2 -- COVID-19 Pandemic response (60 minutes) Chair Hua Xu
Please submit up to 4-page abstract for a podium presentation describing your NLP application(s) that contribute to COVID-19 response and management. Participation in the ongoing initiatives such as RAPID ACCELERATION OF DIAGNOSTICS (RADx) is of interest.
Sessions 3 (Interactive Panel) -- Ethics issues (60 minutes) Chair Bridget Thomson-McInnes
This panel will encompass the issues of privacy and manipulation, transparency and bias, human-computer interactions, and the effects of autonomy as they become nascent due to rapid development of AI approaches.
Session 4: Shared task: Automated Identification of Guideline-driven Clinical Factors from EHR Notes (CFactAI2021) (60 minutes) Chair Brett South
The session will present the results and the new shared task to extract clinical factors from clinical notes for a given medical condition, where a clinical factor is defined as information on the screening, diagnosis, or management of the condition according to its relevant clinical practice guidelines. The call for participation for the shared task https://ibm.github.io/CFactAI2021 contains further details.