Normalization of Long-tail Adverse Drug Reactions in Social Media

no code implementations • EMNLP (Louhi) 2020 • Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Robert-Jan Sips, Zoltan Szlanik, Selene Baez

The automatic mapping of Adverse Drug Reaction (ADR) reports from user-generated content to concepts in a controlled medical vocabulary provides valuable insights for monitoring public health.

Access to care: analysis of the geographical distribution of healthcare using Linked Open Data

no code implementations • 11 Apr 2022 • Selene Baez Santamaria, Emmanouil Manousogiannis, Guusje Boomgaard, Linh P. Tran, Zoltan Szlavik, Robert-Jan Sips

Background: Access to medical care is strongly dependent on resource allocation, such as the geographical distribution of medical facilities.

Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts

no code implementations • WS 2019 • Emmanouil Manousogiannis, Sepideh Mesbah, Aless Bozzon, ro, Selene Baez, Robert Jan Sips

This paper describes the system that team MYTOMORROWS-TU DELFT developed for the 2019 Social Media Mining for Health Applications (SMM4H) Shared Task 3, for the end-to-end normalization of ADR tweet mentions to their corresponding MEDDRA codes.

Entity Linking Few-Shot Learning +1