Fine-tuning Transformer Decoder Model for Disease Prediction and Clinical Data Generation

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dc.contributor.advisorDr. Mohammad Ashrafuzzaman Khan
dc.contributor.authorHryddhi Mirza
dc.contributor.id1912854042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025
dc.date.accessioned2025-07-15T09:50:01Z
dc.date.available2025-07-15T09:50:01Z
dc.date.issued2022
dc.description.abstractFine-tuning Transformer Decoder Model for Disease Prediction and Clinical Data Generation In today’s rapidly evolving technological landscape, new scientific breakthroughs are taking place frequently in all sectors. But only general information can be found through a simple internet search using symptoms as keywords for a disease. To avoid such situations, we aim to generate similar or related disease from a given case and associated symptoms in order to help the doctors and medical professionals to aid in patient care using related documents written by researchers from all across the world.
dc.description.degreeUndergraduate
dc.identifier.cd600000183
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1271
dc.language.isoen
dc.publisherNorth South University
dc.rights©NSU Library
dc.titleFine-tuning Transformer Decoder Model for Disease Prediction and Clinical Data Generation
oaire.citation.endPage17
oaire.citation.startPage1
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