5 papers · 1 filter
Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats
Pierre Epron, Adrien Coulet, Mehwish Alam
Despite their strong linguistic capabilities, Large Language Models (LLMs) are computationally demanding and require substantial resources for fine-tuning, which is unadapted to pr…
Comparing representations of long clinical texts for the task of patient note-identification
Safa Alsaidi, Marc Vincent, Olivia Boyer +3
In this paper, we address the challenge of patient-note identification, which involves accurately matching an anonymized clinical note to its corresponding patient, represented by…
Efficient extraction of medication information from clinical notes: an evaluation in two languages
Thibaut Fabacher, Erik-André Sauleau, Emmanuelle Arcay +6
Objective: To evaluate the accuracy, computational cost and portability of a new Natural Language Processing (NLP) method for extracting medication information from clinical narrat…
Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia
Elisa Castagnari, Lillian Muyama, Adrien Coulet
In practice, clinicians achieve a diagnosis by following a sequence of steps, such as laboratory exams, observations, or imaging. The pathways to reach diagnosis decisions are docu…
Facilitating phenotyping from clinical texts: the medkit library
Antoine Neuraz, Ghislain Vaillant, Camila Arias +8
Phenotyping consists in applying algorithms to identify individuals associated with a specific, potentially complex, trait or condition, typically out of a collection of Electronic…