Akram Redjdal

15 papers Journal 1Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development of the user-friendly decision aid Rule-based Evaluation and Support Tool (REST) for optimizing the resources of an information extraction task.
CoRR
Guillaume Bazin, Xavier Tannier, Fanny Adda, Ariel Cohen, Akram Redjdal, Emmanuelle Kempf
2025 — conf
One Size Does Not Fit All: Improving Breast Cancer Patient Retrieval Using Variable-Tailored Similarity Measures.
MedInfo
Akram Redjdal, Tram-Anh Hyunh, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi
2024 — conf
Exploring Explainable AI Techniques for Text Classification in Healthcare: A Scoping Review.
MIE
Ibrahim Alaa Eddine Madi, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
2024 — conf
LIMICS@DEFT'24 : Un mini-LLM peut-il tricher aux QCM de pharmacie en fouillant dans Wikipédia et NACHOS ?
DEFT@TALN
Solène Delourme, Adam Remaki, Christel Gérardin, Pascal Vaillant, Xavier Tannier, Brigitte Séroussi, Akram Redjdal
2024 — conf
Leveraging Rule-Based NLP to Translate Textual Reports as Structured Inputs Automatically Processed by a Clinical Decision Support System.
MIE
Akram Redjdal, Natallia Novikava, Emmanuelle Kempf, Jacques Bouaud, Brigitte Séroussi
2024 — conf
Measured Performance and Healthcare Professional Perception of Large Language Models Used as Clinical Decision Support Systems: A Scoping Review.
MIE
Solène Delourme, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
2023 — conf
Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review.
ICIMTH
Natallia Novikava, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
2022 — conf
Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping Review.
ICIMTH
Mohammadreza Azarpira, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
2022 — conf
Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases.
MIE
Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi
2021 — conf
Are Semantic Annotators Able to Extract Relevant Complexity-Related Concepts from Clinical Notes?
EFMI-STC
Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi
2021 — conf
Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries.
MedInfo
Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi
2021 — conf
Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases.
EFMI-STC
My-Anh Le Thien, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
2021 — conf
Reusing Decisions Made with One Decision Support System to Assess a Second Decision Support System: Introducing the Notion of Complex Cases.
MIE
Akram Redjdal, Jacques Bouaud, Gilles Guézennec, Joseph Gligorov, Brigitte Séroussi
2021 — conf
Using Machine Learning on Imbalanced Guideline Compliance Data to Optimize Multidisciplinary Tumour Board Decision Making for the Management of Breast Cancer Patients.
MedInfo
My-Anh Le Thien, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
2020 — conf
Creating Synthetic Patients to Address Interoperability Issues: A Case Study with the Management of Breast Cancer Patients.
EFMI-STC
Akram Redjdal, Jacques Bouaud, Gilles Guézennec, Joseph Gligorov, Brigitte Séroussi