Show simple item record

AuthorAl-Mannai, Rashid Ebrahim
AuthorAlmerekhi, Mohammed Hamad
AuthorAl-Mannai, Mohammed Abdulla
AuthorN, Mishahira
AuthorSadasivuni, Kishor Kumar
AuthorYalcin, Huseyin Cagatay
AuthorOuakad, Hassen M.
AuthorBahadur, Issam
AuthorAl-Maadeed, Somaya
AuthorAlbusaidi, Asiya
Available date2021-10-18T08:15:40Z
Publication Date2021
Publication NameQatar University Annual Research an Exhibition 2021 (quarfe)
CitationAl-Mannai R. E., Almerekhi M. H., Al-Mannai M. A., Shahira N., Sadasivuni K. K., Yalcin H. C., Ouakad H. M., Bahadur I., Al-Maadeed S., Albusaidi A., "ARTIFICIAL INTELLIGENCE IN PREDICTING HEART FAILURE", Qatar University Annual Research Forum and Exhibition (QUARFE 2021), Doha, 20 October 2021, https://doi.org/10.29117/quarfe.2021.0130
URIhttps://doi.org/10.29117/quarfe.2021.0130
URIhttp://hdl.handle.net/10576/24415
AbstractHeart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), and cognitive computer can play a critical role in the early detection and diagnosis of Heart Failure Detection, as well as outcome prediction and prognosis evaluation. The availability of large datasets from difference sources can be leveraged to build machine learning models that can empower clinicians by providing early warnings and insightful information on the underlying conditions of the patients
Languageen
PublisherQatar University Press
SubjectArtificial intelligence
Machine learning
Heart failure
Matlab
TitleArtificial Intelligence in Predicting Heart Failure
TypePoster


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record