Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish
We developed and validated three machine learning models combined with NLP techniques for unstructured texts written in Spanish. The models performed well on the validation set but showed modest performance on the test set due to data imbalance. These models could be adapted for clinical practice, though they may require additional manual work due to high false positive rates.
Authors
- Fernando Girón-Luque (ORCID: https://orcid.org/0000-0001-6307-0848)
- Juliana Cuervo-Rojas (ORCID: https://orcid.org/0000-0001-8888-9411)
- Andrea García-López (ORCID: https://orcid.org/0000-0002-3940-1413)
- Juan García-López (ORCID: https://orcid.org/0000-0003-2834-3366)
Institutions
- Universidad de Los Andes (CO)
- Pontificia Universidad Javeriana (CO)
- Fundación Neumológica Colombiana (CO)
- Colombiana de Trasplantes
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1371/journal.pone.0322587
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94