Isabel Coutinho
From HLT@INESC-ID
Isabel Coutinho is a Early Stage Researcher at the Human Language Technologies Lab of INESC-ID and a PhD Student in Computer Science and Engineering at IST, University of Lisbon.
She is currently conducting machine learning research applied to the health domain, specifically focusing on clinical Natural Language Processing (NLP).
Her scientific interests include Biomedical Informatics, Natural Language Processing, and Interpretable Machine Learning.
Total Publications: 4
Article (Author)
- Transformer-based Models for ICD-10 Coding of Death Certificates with Portuguese Text
Isabel Coutinho, Bruno Martins,
Journal of Biomedical Informatics, December 2022
In Proceedings (Author)
- Explainable ICD Coding via Entity Linking
Leonor Barreiros, Isabel Coutinho, Dr. Gonçalo Correia, Bruno Martins,
Proceedings of the NAACL Workshop on Patient-Oriented Language Processing, December 2025 - Accurate and Well-Calibrated ICD Coding Through Attention Over Diverse Label Embeddings
Gonçalo Gomes, Isabel Coutinho, Bruno Martins,
Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics, March 2024 - Exploring Label Correlations for Quantification of ICD Codes
Isabel Coutinho, Bruno Martins,
Proceedings of the International Conference on Discovery Science, October 2023
Total Projects: 1
National Projects
- CRAI - Center for Responsible AI
Unbabel, IAPMEI, Societal Digital Transformation, 2023-01-01 - 2025-12-31