Akram Redjdal

According to our database, Akram Redjdal authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review.

Natallia Novikava, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases.

Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping Review.

Mohammadreza Azarpira, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

Reusing Decisions Made with One Decision Support System to Assess a Second Decision Support System: Introducing the Notion of Complex Cases.

Akram Redjdal, Jacques Bouaud, Gilles Guézennec, Joseph Gligorov, Brigitte Séroussi

Proceedings of the Public Health and Informatics, 2021

Using Machine Learning on Imbalanced Guideline Compliance Data to Optimize Multidisciplinary Tumour Board Decision Making for the Management of Breast Cancer Patients.

My-Anh Le Thien, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries.

Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases.

My-Anh Le Thien, Akram Redjdal, Jacques Bouaud, Brigitte Séroussi

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

Are Semantic Annotators Able to Extract Relevant Complexity-Related Concepts from Clinical Notes?

Akram Redjdal, Jacques Bouaud, Joseph Gligorov, Brigitte Séroussi

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

2020

Creating Synthetic Patients to Address Interoperability Issues: A Case Study with the Management of Breast Cancer Patients.

Akram Redjdal, Jacques Bouaud, Gilles Guézennec, Joseph Gligorov, Brigitte Séroussi

Proceedings of the Integrated Citizen Centered Digital Health and Social Care - Citizens as Data Producers and Service co-Creators, 2020