Logo
Please use this identifier to cite or link to this item: https://irju.jdvu.ac.in/jspui/handle/123456789/10663
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorGhosh (De), Susmita-
dc.contributor.authorShaw, Manshi-
dc.date.accessioned2026-10-13T10:14:27Z-
dc.date.available2026-10-13T10:14:27Z-
dc.date.issued2024-
dc.date.submitted2024-
dc.identifier.otherDC5292-
dc.identifier.urihttps://irju.jdvu.ac.in/jspui/handle/123456789/10663-
dc.format.extent35p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectPredictive Analytics / Classificationen_US
dc.subjectMedical Informaticsen_US
dc.subjectMedical Data Analysisen_US
dc.subjectCancer Recurrence Predictionen_US
dc.titleClassification of differentiated thyroid cancer recurrence using machine learning algorithmsen_US
dc.typeTexten_US
dc.departmentJadavpur University. Department of Computer Science and Engineeringen_US
Appears in Collections:Dissertations

Files in This Item:
File Description SizeFormat 
M. Tech (Computer Science & Engineering) Manshi Shaw.pdf1.8 MBAdobe PDFView/Open


Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.