Predicting Abnormality in Carotid Artery Flow from Colour Doppler Reports usnig Machine Learning

dc.contributor.guide	Chaudhary, Navendu A and Pramod, Dhanya
dc.coverage.spatial
dc.creator.researcher	Anantharaman, Hariharan
dc.date.accessioned	2023-01-12T06:48:38Z
dc.date.available	2023-01-12T06:48:38Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2015
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	95 p.
dc.identifier.uri	http://hdl.handle.net/10603/443420
dc.language	English
dc.publisher.institution	Faculty of Computer Studies
dc.publisher.place	Pune
dc.publisher.university	Symbiosis International University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Carotid artery
dc.subject.keyword	Clinical Medicine
dc.subject.keyword	Clinical Pre Clinical and Health
dc.subject.keyword	Machine learning
dc.subject.keyword	Medical Laboratory Technology
dc.subject.keyword	Neoteric
dc.subject.keyword	Prediction
dc.subject.keyword	Stenosis
dc.title	Predicting Abnormality in Carotid Artery Flow from Colour Doppler Reports usnig Machine Learning
dc.title.alternative
dc.type.degree	Ph.D.