
AR
Akram REDJDAL
Redjdal Akram
Maitre de conférence
15
Documents
Présentation
Publications
Publications
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Monitoring Adverse Drug Events in Web Forums: Evaluation of a Pipeline and Use Case StudyJournal of Medical Internet Research, 2024, 26, pp.e46176. ⟨10.2196/46176⟩
Article dans une revue
hal-04699255
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The More, the Better? Modalities of Metastatic Status Extraction on Free Medical Reports Based on Natural Language ProcessingJCO Clinical Cancer Informatics, 2024, 8, pp.e2400026. ⟨10.1200/CCI.24.00026⟩
Article dans une revue
hal-04692581
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LIMICS@DEFT'24 : Un mini-LLM peut-il tricher aux QCM de pharmacie en fouillant dans Wikipédia et NACHOS ?35èmes Journées d'Études sur la Parole (JEP 2024) 31ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2024) 26ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL 2024), Jul 2024, Toulouse, France. pp.23-39
Communication dans un congrès
hal-04635892
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Exploring Explainable AI Techniques for Text Classification in Healthcare: A Scoping ReviewDigital Health and Informatics Innovations for Sustainable Health Care Systems, IOS Press, 2024, Studies in Health Technology and Informatics, ⟨10.3233/SHTI240544⟩
Chapitre d'ouvrage
hal-04699246
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Measured Performance and Healthcare Professional Perception of Large Language Models Used as Clinical Decision Support Systems: A Scoping ReviewDigital Health and Informatics Innovations for Sustainable Health Care Systems, IOS Press, 2024, Studies in Health Technology and Informatics, ⟨10.3233/SHTI240543⟩
Chapitre d'ouvrage
hal-04699249
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Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping ReviewHealthcare Transformation with Informatics and Artificial Intelligence, IOS Press, 2023, Studies in Health Technology and Informatics, ⟨10.3233/SHTI230503⟩
Chapitre d'ouvrage
hal-04322831
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Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer CasesChallenges of Trustable AI and Added-Value on Health, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220400⟩
Chapitre d'ouvrage
hal-03681262
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Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping ReviewAdvances in Informatics, Management and Technology in Healthcare, IOS Press; IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220723⟩
Chapitre d'ouvrage
hal-03767795
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Using Machine Learning on Imbalanced Guideline Compliance Data to Optimize Multidisciplinary Tumour Board Decision Making for the Management of Breast Cancer PatientsStudies in Health Technology and Informatics, 2022, ⟨10.3233/shti220186⟩
Chapitre d'ouvrage
hal-03767792
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Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient SummariesMEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220058⟩
Chapitre d'ouvrage
hal-03702149
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Reusing Decisions Made with One Decision Support System to Assess a Second Decision Support System: Introducing the Notion of Complex CasesPublic Health and Informatics, IOS Press, 2021, Studies in Health Technology and Informatics, ⟨10.3233/SHTI210251⟩
Chapitre d'ouvrage
hal-03560238
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Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer CasesApplying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, IOS Press, 2021, Studies in Health Technology and Informatics, ⟨10.3233/SHTI210834⟩
Chapitre d'ouvrage
hal-03648855
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Are Semantic Annotators Able to Extract Relevant Complexity-Related Concepts from Clinical Notes?Jaime Delgado; Arriel Benis; Paula de Toledo; Parisis Gallos; Mauro Giacomini; Alicia Martínez-García; Dario Salvi. Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 287, IOS Press, pp.153-157, 2021, Studies in Health Technology and Informatics, 978-1-64368-236-5. ⟨10.3233/SHTI210836⟩
Chapitre d'ouvrage
hal-03560230
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Creating Synthetic Patients to Address Interoperability Issues: A Case Study with the Management of Breast Cancer PatientsIntegrated Citizen Centered Digital Health and Social Care, 275, IOS Press, 2020, Studies in Health Technology and Informatics, ⟨10.3233/SHTI200718⟩
Chapitre d'ouvrage
hal-03560248
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Oncolog-IA : symbolic and numeric artificial intelligence for learning complexity of breast cancer cases and providing decision support for their therapeutic managementHuman health and pathology. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS333⟩
Thèse
tel-04330919
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