Akram Redjdal

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Interoperability Issues

Prognostic Factors

Top Venues

Publications

Natallia Novikava, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review. ICIMTH (2023)
Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi
Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases. MIE (2022)
Mohammadreza Azarpira, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping Review. ICIMTH (2022)
Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi
Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries. MedInfo (2021)
My-Anh Le Thien, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
Using Machine Learning on Imbalanced Guideline Compliance Data to Optimize Multidisciplinary Tumour Board Decision Making for the Management of Breast Cancer Patients. MedInfo (2021)
Akram Redjdal, Jacques Bouaud, Gilles Guézennec, Joseph Gligorov, Brigitte Séroussi
Reusing Decisions Made with One Decision Support System to Assess a Second Decision Support System: Introducing the Notion of Complex Cases. MIE (2021)
My-Anh Le Thien, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi
Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases. EFMI-STC (2021)
Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi
Are Semantic Annotators Able to Extract Relevant Complexity-Related Concepts from Clinical Notes? EFMI-STC (2021)
Akram Redjdal, Jacques Bouaud, Gilles Guézennec, Joseph Gligorov, Brigitte Séroussi
Creating Synthetic Patients to Address Interoperability Issues: A Case Study with the Management of Breast Cancer Patients. EFMI-STC (2020)