no code implementations • EMNLP (ClinicalNLP) 2020 • George Michalopoulos, Helen Chen, Alexander Wong
The gold standard in clinical data capturing is achieved via “expert-review”, where clinicians can have a dialogue with a domain expert (reviewers) and ask them questions about data entry rules.
1 code implementation • 27 May 2023 • Asma Ben Abacha, Wen-wai Yim, George Michalopoulos, Thomas Lin
To study the correlation between the automatic metrics and manual judgments, we evaluate automatic notes/summaries by comparing the system and reference facts and computing the factual correctness, and the hallucination and omission rates for critical medical facts.
no code implementations • BioNLP (ACL) 2022 • George Michalopoulos, Michal Malyska, Nicola Sahar, Alexander Wong, Helen Chen
The International Classification of Diseases (ICD) system is the international standard for classifying diseases and procedures during a healthcare encounter and is widely used for healthcare reporting and management purposes.
no code implementations • 3 Sep 2021 • Peiyuan Zhou, Andrew K. C. Wong, Yang Yang, Scott T. Leatherdale, Kate Battista, Zahid A. Butt, George Michalopoulos, Helen Chen
COMPASS is a longitudinal, prospective cohort study collecting data annually from students attending high school in jurisdictions across Canada.
1 code implementation • ACL 2022 • George Michalopoulos, Ian McKillop, Alexander Wong, Helen Chen
Contextual word embedding models have achieved state-of-the-art results in the lexical substitution task by relying on contextual information extracted from the replaced word within the sentence.
1 code implementation • NAACL 2021 • George Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen Chen, Alexander Wong
Contextual word embedding models, such as BioBERT and Bio_ClinicalBERT, have achieved state-of-the-art results in biomedical natural language processing tasks by focusing their pre-training process on domain-specific corpora.
1 code implementation • 15 Oct 2020 • George Michalopoulos, Helen Chen, Alexander Wong
The gold standard in clinical data capturing is achieved via "expert-review", where clinicians can have a dialogue with a domain expert (reviewers) and ask them questions about data entry rules.
no code implementations • 18 Jun 2020 • Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas
We use this feature vector alongwith the ground-truth information to learn a classifier for each of the attributes of the database.