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A federated learning architecture for prescription text recognition in a Blockchain environment

dc.contributor.authorDJENANDAR, MOhammed YAcine
dc.date.accessioned2023-10-17T10:10:12Z
dc.date.available2023-10-17T10:10:12Z
dc.date.issued2023
dc.descriptionEncadrant : M Fayssal BENDAOUD / Co-Encadrant : M Karim SEHIMIen_US
dc.description.abstractAbstract : An Electronic Health Record (EHR) is the digital representation of patients medical history, including information such as their past illnesses, their medical imaging history and prescriptions. Because of doctor’s incomprehensible handwriting, trying to understand prescriptions may be difficult and lead to harmful consequences for the patients. That’s why, we proposed an artificial intelligence-based framework for the recognition of handwritten prescriptions’ text. Our framework will not only provide high-accuracy recognition, but will also guarantee the preservation of patients privacy thanks to combining well-known technologies like blockchain and federated-learning..en_US
dc.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/532
dc.language.isoenen_US
dc.subjectBlockchainen_US
dc.subjectDeep Learningen_US
dc.subjectFederated Learningen_US
dc.subjectEHRen_US
dc.titleA federated learning architecture for prescription text recognition in a Blockchain environmenten_US
dc.typeThesisen_US

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