Please use this identifier to cite or link to this item: http://www.ir.juit.ac.in:8080/jspui/jspui/handle/123456789/14702
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSandhu, Zorawar Singh-
dc.contributor.authorNayyer, Anmol-
dc.contributor.authorSharma, Tanu-
dc.contributor.authorAar, Palak [Guided by]-
dc.date.accessioned2026-08-21T10:09:08Z-
dc.date.available2026-08-21T10:09:08Z-
dc.date.issued2026-
dc.identifier.urihttp://www.ir.juit.ac.in:8080/jspui/jspui/handle/123456789/14702-
dc.descriptionSP2226114 [Enrollment No. 221030142, 221031002, 221031022]en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectComputer Science and Engineeringen_US
dc.subjectSepsisen_US
dc.subjectAI- based systemen_US
dc.subjectMachine learningen_US
dc.titleAI based Early Sepsis Detection and Prediction Systemen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

Files in This Item:
File Description SizeFormat 
Full-Text.pdf290.69 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.