Marc Vincent

Paris, France

Last Updated: 09/26/2026

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Found 24 publications

Challenges of Ontology-Based Concept Normalization for Deep Phenotyping in Rare Skin Diseases.

Challenges of Ontology-Based Concept Normalization for Deep Phenotyping in Rare Skin Diseases.

Journal: Studies in health technology and informatics

Published: May 23, 2026

From annotation to adaptation: extracting temporal relations in French clinical narratives.

From annotation to adaptation: extracting temporal relations in French clinical narratives.

Journal: BMC medical research methodology

Published: January 11, 2026

Enhancing rare disease detection with deep phenotyping from EHR narratives: evaluation on Jeune syndrome.

Enhancing rare disease detection with deep phenotyping from EHR narratives: evaluation on Jeune syndrome.

Journal: International journal of medical informatics

Published: May 07, 2025

Using large language models for temporal relation extraction from pediatric clinical reports.

Using large language models for temporal relation extraction from pediatric clinical reports.

Journal: JAMIA open

Published: April 17, 2025

An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse.

An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse.

Journal: Studies in health technology and informatics

Published: August 23, 2024

Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity.

Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity.

Journal: Orphanet journal of rare diseases

Published: August 29, 2023

Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives.

Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives.

Journal: Studies in health technology and informatics

Published: May 19, 2023

Using Deep Learning to Improve Phenotyping from Clinical Reports.

Using Deep Learning to Improve Phenotyping from Clinical Reports.

Journal: Studies in health technology and informatics

Published: June 08, 2022

Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome.

Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome.

Journal: Studies in health technology and informatics

Published: May 25, 2022

Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method.

Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method.

Journal: Orphanet journal of rare diseases

Published: January 04, 2022

Does visual acuity predict visual preference in progressive addition lenses?

Does visual acuity predict visual preference in progressive addition lenses?

Journal: Journal of optometry

Published: December 03, 2021

Patient-Patient Similarity-Based Screening of a Clinical Data Warehouse to Support Ciliopathy Diagnosis.

Patient-Patient Similarity-Based Screening of a Clinical Data Warehouse to Support Ciliopathy Diagnosis.

Journal: Frontiers in pharmacology

Published: September 30, 2021

Showing 1-12 of 24

Last Updated: 09/26/2026